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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
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
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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 Chinese equity-screening post combines three dimensions: a 20-day moving average above the 120-day moving average, market capitalization below 10 billion yuan with no losses, and fund-flow strength ranked from high to low. The proposed procedure ranks…

AkcijasSekošana tendenceiCenas impulssRiska pārvaldība
SuperMind

This post proposes a Chinese equity screen using turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and revenue growth: 2021 revenue must exceed 1.1 times 2018 revenue. It frames turnover and the opening-price condition as…

AkcijasTehniskie indikatoriStatistika
SuperMind

This Chinese stock-screening post describes a rule combining daily price amplitude above 1, an indicator of main-force control on the previous day, and a circulating market capitalization between 5 billion and 10 billion yuan. It presents the conditions as a…

AkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This Chinese-language article proposes an equity screen that selects main-board stocks with RSI below 65 and a daily gain above 1%, then filters by company characteristics such as quality or high growth. It frames the RSI condition as indicating an oversold…

AkcijasTehniskie indikatoriCenas impulssAtgriešanās pie vidējās vērtības
SuperMind

This Chinese equity screening note combines four conditions: MACD above its zero line, a daily gain greater than 1%, membership in the main board, and a 9:25 a.m. price increase below 6%. It presents the first three as directional or market-universe filters…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese stock-screening note proposes selecting non-Star Market shares with daily amplitude above 1 and a rising short-term average pattern. It describes the screen as a way to find volatile stocks showing near-term upward price movement. Its indicator…

AkcijasTehniskie indikatoriSvārstīgumsĶīnas tirgi
SuperMind

The proposed stock screen combines a technical condition with valuation and dividend criteria: select shares with RSI below 65, positive price-to-earnings ratios, and a dividend payout ratio above 25% for 2019. The accompanying rationale treats the RSI…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaRiska pārvaldība
SuperMind

The document describes a stock screen using daily price amplitude above 1%, data from 2021, and an external-to-internal trading volume ratio above 1.3. It interprets larger amplitude as greater volatility and the volume ratio as a possible indication of…

AkcijasĶīnas tirgiSvārstīgumsTirgus mikrostruktūra
SuperMind

The document proposes screening Chinese equities using three signals: a daily increase in holdings above 5%, a weekly five-period moving average crossing above the ten-period average, and a shortening MACD histogram on a 15-minute chart. It presents these as…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document proposes screening Chinese stocks for daily amplitude above 1%, observations dated in 2021, and alignment among five moving averages based on 5, 10, 20, 30, and 60 periods. It interprets higher amplitude as greater volatility and moving-average…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

The document describes a simple A-share stock screen using daily amplitude above 1%, a closing price set at 18.5 yuan, and an opening auction change from -2% up to but not including 5%. It presents these conditions as filters for price movement, nominal…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This stock-selection proposal combines a price-amplitude threshold, a KDJ condition with K below 20, a market-value ceiling of 10 billion yuan, and a requirement for positive profits. The rationale is to find smaller companies with substantial price movement…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasFaktoru ieguldīšana
SuperMind

This stock screen combines a daily price-range condition, a weekly MACD condition, and a profitability filter. It seeks shares with an amplitude above 1, weekly MACD above zero, and return on equity greater than 15% in each of the previous five years. The…

AkcijasTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This stock selection rule combines three filters: daily price amplitude above 1, a listing history longer than one year, and at least one limit-up event in the prior 25 days. The accompanying explanation treats recent limit-ups as a possible sign of market…

AkcijasĶīnas tirgiCenas izrāviensTehniskie indikatori
SuperMind

This overview proposes using machine learning to support value investing by combining financial statements, market data, and macroeconomic information. It lists a broad set of candidate measures, spanning performance and risk statistics, valuation and…

AkcijasMašīnmācīšanāsFaktoru ieguldīšanaVēsturisko datu pārbaude
SuperMind

This document describes a Chinese equity screen combining turnover between 3% and 12%, seven consecutive down days, and a morning price condition below 6%. It presents the setup as a way to find stocks in a pullback while accounting for trading activity and…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese-language article proposes screening mainland Chinese stocks in the metaverse sector using two price conditions: the 9:25 price change must be below 6%, and the stock must have more than two limit-up days within the prior ten days. The first…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The proposed screen uses Chinese A-share data from 2021 onward, compares the 20-day and 120-day moving averages, and keeps stocks where the shorter average is above the longer one. It then ranks candidates by capital strength and selects the top 100. The…

Ķīnas tirgiAkcijasSekošana tendenceiTehniskie indikatori
SuperMind

The screen selects Chinese A-share stocks using three conditions: buying-position share above five percent on the current day, no limit-up session on the prior day, and more than two limit-up sessions during the past ten days. The accompanying explanation…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This document outlines a Chinese stock screen for companies associated with the metaverse concept. It selects shares with circulating capital no greater than 5.5 billion shares and at least one limit-up event during the preceding 25 days. The rationale is…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

This document describes a Chinese A-share screening rule combining three conditions: RSI below 65, the ratio of external to internal trading volume above 1.3, and the closing price above its five-day moving average. The indicators are presented as a way to…

AkcijasTehniskie indikatoriĶīnas tirgiCenas impulss
SuperMind

The document describes a stock-selection screen combining MACD above zero, upward alignment among current moving averages, and a weekly five-period average crossing above a ten-period average. It interprets these conditions as evidence of positive momentum…

AkcijasĶīnas tirgiCenas impulssSekošana tendencei
SuperMind

The document introduces moving averages as a way to smooth price data and describe trends. It distinguishes shorter and longer averaging periods, gives the arithmetic average as the basic calculation, and also describes a weighted recursive SMA convention…

AkcijasSekošana tendenceiTehniskie indikatoriCenas izrāviens
SuperMind

This note proposes a Chinese stock selection screen requiring MACD’s DIF line to be above zero, a short moving average to be rising, and positive institutional net buying. It interprets these conditions as evidence of an upward trend and institutional…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori