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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
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
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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 stock screen combines a daily price-range condition, a dividend-yield threshold tied to 2019, and a weekly MACD condition above zero. The stated logic seeks shares with some recent price movement, a high historical dividend yield, and positive…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post presents a simple Chinese equity screen that selects stocks associated with the metaverse theme, with a positive return condition and a share price below a stated threshold. It describes the intended criteria in plain language and gives example…

AkcijasĶīnas tirgiCenas impulssVēsturisko datu pārbaude
SuperMind

The document outlines a Chinese stock screen using three filters: a daily price-change measure greater than one percent, a listing age exceeding one year, and a closing price below 12 yuan. It presents the filters as a way to find active, established,…

Ķīnas tirgiAkcijasTehniskie indikatoriStatistika
SuperMind

The document describes a Chinese equity screen that ranks stocks in the metaverse industry by the day’s auction value and keeps the top five, subject to a condition labeled as an emerging strong uptrend. It presents the trend condition as a way to identify…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The proposed stock screen selects companies in the metaverse sector whose closing price is above its five-day moving average, then ranks candidates by opening-auction amount and keeps the top five. The document presents this as a way to combine a sector…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screening proposal selects non-ST stocks before 10 a.m. using a range threshold, a five-session closing-high condition, and an external-to-internal trading volume ratio above 1.3. It presents the setup as a way to find active shares with…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This document outlines an A-share screen that combines membership in the metaverse theme, a share price above its 250-day moving average, and a revenue comparison requiring the 2021 figure to exceed the 2018 figure by a stated threshold. The theme identifies…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This document describes a rule-based A-share stock screen combining a turnover-rate band of 3% to 12%, a newly formed KDJ golden cross, and a close between Bollinger Bands’ middle and upper lines. It frames turnover as a liquidity filter, the crossover as an…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document describes a simple Chinese A-share screen that selects stocks with turnover rates between 3% and 12%, excludes Beijing-listed shares, and requires a share price below a stated threshold. Its rationale is that the turnover band may identify…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This note describes a stock screening rule that selects companies listed after 2021 and showing a daily position increase above 5%. Its stated rationale is to look for recent capital inflows while excluding longer-listed stocks. The article gives a…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This A-share stock-selection idea filters for companies associated with the metaverse theme that appeared on the prior day's trading leaderboard, then ranks eligible names by the current day's auction value and selects the highest-ranked group. The article…

Ķīnas tirgiAkcijasUz notikumiem balstīta tirdzniecībaRīkojumu izpilde
SuperMind

This A-share screening approach combines liquidity, a technical signal, and institutional trading activity. It selects stocks with market capitalization above 1 billion, turnover between 3% and 12%, a KDJ golden cross, and an institutional trading share…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-screening note combines two technical conditions: at least five moving averages should converge, and the weekly MACD should be above zero. The author interprets moving average convergence as a sign of relatively stable price action and possible…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese-market stock screen combines three conditions: turnover between 3% and 12%, an opening price within 5% of the 10-day average closing price, and more than two limit-up days during the past 10 days. It is aimed at finding active stocks whose…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post proposes screening stocks that have at least two limit-up sessions within 500 days and five moving averages described as overlapping. It interprets the moving-average condition as a possible sign of nearby support and resistance, and repeated…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post outlines an equity screening rule that combines MACD above zero with a candlestick-pattern condition and a company characteristic. It presents the combination as a way to identify stocks with upward trend potential, while warning…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This proposed A-share stock screen combines market activity, company size, profitability, and recent price action. It selects stocks with turnover between 3% and 12%, market capitalization below 10 billion yuan, positive income, and at least one limit-up…

AkcijasCenas impulssCenas izrāviensĶīnas tirgi
SuperMind

This Chinese course listing outlines a study of A-share stocks that reach their daily upper price limit. Its stated sequence is to explain the limit-up mechanism, classify limit-up events, examine subsequent stock returns, and then apply a support vector…

AkcijasMašīnmācīšanāsCenas izrāviens
SuperMind

This proposed stock screen combines amplitude above 1, institutional participation, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and at most 100%. The final criteria specify institutional participation above…

AkcijasĶīnas tirgiSvārstīgumsCenas impulss
SuperMind

This post proposes screening A-share stocks for turnover between 3% and 12%, market value below 10 billion yuan, scale above 200 million yuan, and no losses. It presents the screen as a way to combine trading activity, company size, and profitability, then…

AkcijasĶīnas tirgiFaktoru ieguldīšanaVēsturisko datu pārbaude
SuperMind

This Chinese-language post describes an A-share stock screen combining three conditions: a 14-period RSI below 65, an outer-to-inner trading volume ratio above 1.3, and circulating market value between 5 billion and 10 billion yuan. It outlines a screening…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-selection idea targets Chinese beverage and alcohol companies with turnover between specified bounds and at least five overlapping moving averages. The accompanying explanation treats the turnover range as a way to focus on moderately active…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude