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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
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
WonderTrader
Dokumentu skaits: 14
Alphalens
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 A-share screening rule combines three conditions: a MACD signal above or crossing the zero axis, a recent high that is the highest across a two-day window, and a pre-market gain below 6% as measured around 9:25. The document provides an indicator…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese A-share screening idea focuses on stocks classified in the metaverse industry. It selects names that had at least one limit-up event in the prior 25 days and whose 20-day moving average is above the 120-day average, using the longer average as a…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The document proposes a Chinese stock screen that combines a reported daily buying-activity share above 5%, a weekly close crossing above its 30-week moving average, and a shortening MACD histogram on a 15-minute chart. The signals are intended to pair…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese equity screen combining daily price amplitude above 1%, a freely traded share count no greater than 5.5 billion, and weekly MACD above zero. It presents these filters as a way to find relatively volatile small-cap stocks with…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This screening approach targets main-board stocks associated with the robotics concept. It requires turnover between 3% and 12%, a circulating market value below 10 billion yuan, and a daily gain below 2.6% but above −5%. The article presents the combination…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This screening method selects Shenzhen main-board stocks that have been listed for more than a year, show daily amplitude above 1, and fall within specified valuation ranges: price-to-earnings above zero and below 29.01, and price-to-book above zero and…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This stock-selection method ranks shares by large-order net volume, then looks for positive readings above 0.05 across at least three consecutive days. It also requires the 20-day moving average to be above the 120-day moving average, combining a measure of…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This post describes a Chinese equity screen for stocks in a metaverse industry category. It requires the opening price to be less than 6% above the previous close and at least one session in the prior 25 days when the high exceeded the previous high by more…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

The document surveys leveraged exchange-traded funds, their construction, daily exposure management, costs, and market footprint. Such funds seek a multiple of an underlying index’s return over a short period, using derivatives such as futures or…

AkcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldībaRīkojumu izpilde
SuperMind

The document describes a daily stock screen for companies classified in a metaverse-related sector. It selects stocks with a positive daily return, a price change below 2.6% and above -5%, and a price-to-earnings ratio below 30. It gives both a combined…

AkcijasCenas impulss
SuperMind

This document describes a Chinese equity screen that combines three conditions: price amplitude above 1%, a circulating share count no greater than 5.5 billion, and year-over-year growth in parent-attributable net profit above 20% and no more than 100%. It…

AkcijasĶīnas tirgiFaktoru ieguldīšanaSvārstīgums
SuperMind

The document proposes an equity screen requiring turnover between 3% and 12%, a positive product of the day's price change and net large-order flow, and a rising DEA indicator. It frames the turnover band as a participation filter, the signed price-flow…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

The document describes a stock screen combining daily amplitude above 1, a price below 20, and a positive change in the KDJ K value. It presents the KDJ increase as a way to identify upward price momentum, then recommends checking it alongside other…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This proposed A-share screen targets main-board stocks associated with robotics. Its stated criteria are turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan. A sample indicator expression also requires the closing…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines daily amplitude above one percent with a reversal or engulfing-style candle condition, then excludes stocks classified as belonging to the technology innovation segment. The article provides indicator formula examples and…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas izrāviens
SuperMind

This Chinese stock selection method combines three signals: daily amplitude above one percent, large-order net inflow in the afternoon, and a rising short-term price floor. The article gives indicator formulas and a Python example intended to screen stocks…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
SuperMind

The proposed equity screen looks for stocks with turnover between 3% and 12%, seven consecutive declining sessions, and a price pattern described as resembling a rounded base. The article presents formula examples for implementing the conditions and adds a…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This Chinese equity selection note describes a three-part screen: daily high-low range above a stated threshold, a reversal pattern, and price above its five-day moving average. It frames the moving-average condition as a way to favor stocks in an upward…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This note proposes screening Chinese equities for three conditions: membership in the metaverse industry, a rounded price pattern, and a reversal or engulfing-style signal. It suggests the combination may identify active stocks in strong market themes with…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The article proposes screening stocks for turnover between 3% and 12%, membership in a beverage and alcohol import-export category, and a prior-day auction turnover measure above 0.26. It presents this as a way to find stocks with recent trading activity and…

AkcijasTehniskie indikatoriRīkojumu izpildeĶīnas tirgi
SuperMind

This short-term stock selection rule looks for equities with a daily price range above 1, a rising and spreading set of moving averages, and positive net buying by large participants during the opening auction. The stated rationale is to find shares showing…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This post presents a stock screen that combines a short-term trend condition with recent buying activity. It selects stocks whose 20-day moving average is above the 120-day average, whose prior session did not close at the daily price limit, and whose…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post outlines a stock selection rule focused on companies associated with the metaverse theme. It requires the 30-day moving average to be rising and a nonempty name for an outstanding convertible bond. The accompanying explanation frames the…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This post proposes an A-share stock screen that combines trading activity, reported earnings growth, and short-term order flow. It selects stocks with turnover between 3% and 12%, parent-company net profit growth between 20% and 100%, and large-order net…

AkcijasĶīnas tirgiCenas impulssTirgus noskaņojums