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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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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 Supermind example screens Chinese equities using three conditions: turnover between 3% and 12%, a listing year of 2021, and a short-term MACD pattern on 15-minute data. The described histogram condition is that the MACD green bars are shortening. The…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-screening post combines a turnover band, beverage and alcohol industry classification, and a moving-average signal described as a morning-star condition. The indicator requires the five-day average to be rising, the prior close to sit…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The document outlines a Chinese stock screen combining price amplitude, a morning-star candlestick condition, and an opening price change constrained to between −2% and 5% relative to the prior close. It presents amplitude as a measure of activity, the…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This stock screen selects shares with daily high-low amplitude of at least 1% and turnover above 2% but no greater than 9%, then ranks candidates by a measure of trading activity or investor attention. The article's example formula uses traded amount as the…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This stock-selection idea combines three conditions: daily high-low amplitude above 1%, a newly formed KDJ crossover, and an opening price at least 9.95% below the prior close, described as a prior-day 9:15 indicative match at the limit. Selected shares…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document outlines a technical screen for stocks in the metaverse industry. It seeks simultaneous bullish crossovers in MACD and two moving-average pairs, with the closing price above the upper and middle Bollinger Bands. The underlying rationale is to…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The document proposes a Chinese stock screen combining price movement, convertible bond information, and the KDJ indicator. Its stated idea is to select shares with amplitude above a threshold, a nonempty name for an outstanding convertible bond, and a…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese stock selection rule combining an amplitude threshold, a prior-day signal tied to the 9:15 matching price and limit-down conditions, and a specified closing price. It suggests sorting qualifying stocks by popularity and…

AkcijasSvārstīgumsTehniskie indikatoriĶīnas tirgi
SuperMind

This stock-selection method combines a 14-period RSI threshold with order-book volume imbalance and an institutional-flow measure. The article first describes RSI below 65, bid-side volume above ask-side volume, and institutional direction above zero; its…

AkcijasTehniskie indikatoriTirgus mikrostruktūraTirgus noskaņojums
SuperMind

The document describes a daily A-share stock screen limited to companies classified in the metaverse industry, with circulating share capital at or below 5.5 billion shares and daily price change between -5% and 2.6%. It gives a closing-price formula for…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

The document describes a stock screen that selects securities whose codes begin with 60, whose daily amplitude exceeds 1, and whose daily decline lies between 4% and 5%. It presents the screen as a way to find volatile stocks that have fallen sharply, then…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This documentation explains how to connect OctoBot to Telegram's API so it can listen to public groups for trading signals. It distinguishes this setup from the simpler Telegram configuration used to control OctoBot or listen to private groups. To use the…

KriptoaktīviRīkojumu izpildeTirgus mikrostruktūra
SuperMind

The document proposes a stock screen combining daily price amplitude above a threshold, a market capitalization ceiling, positive net profit, and at least five converging moving averages. It argues that clustered averages may point to a relatively stable…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaVēsturisko datu pārbaude
SuperMind

This document proposes screening Chinese A-shares using three conditions: a trading range above a stated threshold, a nonempty convertible-bond name, and a limit-up event within the prior 25 days. It presents the idea as a combination of volatility,…

AkcijasĶīnas tirgiSvārstīgumsCenas impulss
SuperMind

This note presents a Chinese equity screen that looks for stocks associated with the metaverse theme, a rising 30-day moving average, and circulating market capitalization above 10 billion yuan. It combines a thematic classification with a trend condition…

Ķīnas tirgiAkcijasSekošana tendenceiTehniskie indikatori
SuperMind

This research summary tests whether machine-generated stock-selection factors add value to established manually designed factor libraries. It uses genetic programming to evolve candidate formulas from market data, then applies random forests to turn factor…

Faktoru ieguldīšanaMašīnmācīšanāsStatistikaVēsturisko datu pārbaude
SuperMind

This note describes an A-share stock screen combining daily turnover between 3% and 12%, a newly formed KDJ golden cross, and a tradable share count no greater than 5.5 billion. Its rationale is to pair trading activity and a technical momentum signal with a…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post outlines a stock screen combining a daily high-low range greater than one percent, a 2021 date filter, and upward-moving trend measures. The provided formula expresses the range condition using the day’s high and low relative to…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The document describes a simple Chinese A-share screen based on daily price range, excluding Beijing-listed shares, and requiring a closing price around 18.5 yuan. It presents the range test as a way to identify stocks with price movement, while the…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

The document proposes an A-share stock selection screen that combines daily price range, a specified closing price, revenue growth over several years, and additional filters for profit growth, market capitalization, and trading volume. It presents the…

AkcijasĶīnas tirgiSvārstīgumsFaktoru ieguldīšana
SuperMind

This document presents an equity screen combining a price-range condition, exclusion of stocks marked ST, a selection time before 10 a.m., a five-session high condition, and turnover between 2% and 9%. Its example implementation calculates a range measure…

AkcijasCenas impulssTehniskie indikatoriRiska pārvaldība
SuperMind

This document describes a Chinese equity screen that selects stocks with turnover between 3% and 12%, seven consecutive daily declines, and a circulating share count no greater than 5.5 billion. It frames the falling-price pattern and smaller float as…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
SuperMind

This Chinese stock-selection rule requires turnover between 3% and 12%, a newly formed KDJ golden cross, and a daily amplitude above 1%. The proposed rationale is to avoid stocks with very low or unusually high turnover, use the KDJ crossover to identify a…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity screening proposal combines three conditions: rank stocks by volume ratio and select the top 100, identify those with the largest absolute gap between the prior day's 9:15 indicative match price and limit-down price, and require the…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss