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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
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
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 capital-inflow measure with two trend filters. It selects A-shares when the day’s increase in holdings exceeds 5%, weekly MACD is above zero, and the 20-day moving average is above the 120-day moving average. The article…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The article argues that markets are uncertain and that technical indicators cannot deliver dependable forecasts by themselves. It makes the broad claim that trend-following indicators may have accuracy below 50%, attributing this to lag and uncertainty, but…

Tehniskie indikatoriStatistikaRiska pārvaldība
SuperMind

The article presents a Chinese equity screening idea that combines three conditions: MACD above its zero line, a price-change and large-order-flow measure, and the 20-day moving average above the 120-day moving average. It frames the combination as a way to…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-selection note combines three technical filters: daily amplitude above a threshold, a positive weekly MACD histogram, and a close between the middle and upper Bollinger Bands. It characterizes the amplitude condition as a volatility screen, the…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese stock-screening note proposes selecting equities with a 14-period RSI below 65, three consecutive declining sessions, and no limit-up on the previous day. It presents the combination as a way to find technically weaker or less overheated stocks,…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese stock-selection idea filters for stocks with turnover between 3% and 12%, displayed buy-one volume greater than sell-one volume, and a rounded price pattern in which a decline is followed by a rebound. The stated rationale is that turnover and…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasTirgus mikrostruktūra
SuperMind

This Chinese stock-selection post describes a screen for companies associated with the metaverse theme and a rounded price pattern. Its initial rule combines the prior day’s turnover rate with the ratio of current auction volume to the prior day’s volume,…

AkcijasTehniskie indikatoriRiska pārvaldībaĶīnas tirgi
SuperMind

This stock screen selects companies in the metaverse industry whose share price is above its five-day moving average and that have outstanding convertible bonds. The moving-average condition is intended to retain stocks showing short-term price strength; the…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock-selection rule screens for turnover between 3% and 12%, a ratio of outside volume to inside volume above 1.3, and exclusion of China’s Science and Technology Innovation Board. The accompanying implementation also includes a recent volume surge…

AkcijasTehniskie indikatoriTirgus mikrostruktūraĶīnas tirgi
SuperMind

This stock screen looks for turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and no limit-up on the previous day. The stated rationale is to find liquid, actively followed stocks with a recent strong move, followed by a possible…

AkcijasCenas impulssCenas izrāviensĶīnas tirgi
SuperMind

This post describes a Chinese stock selection screen combining daily price movement, a weekly MACD condition, a low nominal share price, and a price-to-earnings filter. Its final stated rules require amplitude above 1, a positive weekly MACD histogram, price…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This document describes a stock-selection rule that combines three signals: daily price amplitude above a threshold, a positive weekly MACD condition, and a positive product of price change and a large-order money-flow measure. It presents the rule as a way…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This post proposes screening Chinese equities for companies with market capitalization below 10 billion yuan, no losses, and share prices below 18.5 yuan. It also suggests ranking candidates by capital-intensity measures such as turnover and volume ratio.…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This document describes a Chinese stock selection screen combining beverage and alcohol industry membership, turnover, and a Bollinger Band condition. The stated setup seeks stocks with turnover between 3% and 12% and closing prices between the middle and…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

This stock-selection rule screens Chinese equities using three conditions: daily amplitude above 1%, at least two limit-up events in the preceding 500 days, and a 2019 dividend ratio above 25%. The post describes these as signals of strong price action and…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This stock-selection proposal combines three signals: an RSI reading below a stated threshold, the product of price change and net volume from very large orders being positive, and a stock appearing on the prior day’s trading activity list. The article…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This Chinese stock-screening example combines a daily turnover-rate band with reversal-candle and arc-shaped price indicators. Its stated selection formula also filters for market capitalization and an arc-trend reading, while the accompanying explanation…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

This article outlines an equity screen requiring RSI below 65, a rising KDJ K value, and turnover between 3% and 12%. Its stated aim is to find stocks with relatively subdued RSI readings, improving short-term momentum, and moderate trading activity. The…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This article describes a Chinese equity screening rule combining a daily high–low range above 1%, a newly formed KDJ bullish crossover, and 2021 revenue more than 1.1 times 2018 revenue. It explains the intended rationale: favor stocks with price movement,…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This SuperTrend variation adapts its ATR multiplier to the ratio of current ATR to a smoothed ATR average, widening bands in relatively volatile conditions and narrowing them when volatility is subdued. It adds an ATR-based cushion beyond the band before…

Sekošana tendenceiSvārstīgumsTehniskie indikatoriCenas impulss
SuperMind

This document describes a stock-selection screen for Chinese A-shares. It combines daily turnover between 3% and 12%, an opening price within 5% of the ten-day moving average, market capitalization no greater than 10 billion yuan, and positive earnings…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana