Pāriet uz saturu

Zināšanu bibliotēka

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 Chinese-language post outlines an equity screening rule that combines daily price amplitude, positive institutional fund flows, and prior-day turnover above a stated threshold. The rationale is to find stocks with substantial price movement, signs of…

AkcijasCenas impulssTehniskie indikatoriRiska pārvaldība
SuperMind

This stock screen selects shares with turnover between three and twelve percent, an opening price within five percent of the ten-day average closing price, and a specified market type. It combines a measure of trading activity with a short-term…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese stock-selection post describes a screen combining daily price range, a positive weekly MACD condition, and a minimum prior-day trading amount. Its example implementation expresses the range as a percentage of the low and checks MACD values,…

AkcijasTehniskie indikatoriĶīnas tirgiCenas impulss
SuperMind

This post proposes a Chinese equity screen combining a daily price-amplitude threshold, a top-five ranking by auction amount, membership in a robotics theme, and circulating market capitalization below 10 billion yuan. It presents the ranking and size…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese equity screen combining a 14-period RSI below 65 with year-over-year growth in net profit attributable to the parent company above 20% and at most 100%. It also requires revenue in 2021 to exceed revenue in 2018 by more than…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This post describes a stock screen combining three conditions: turnover between 3% and 12%, a rising KDJ K value, and negative daily returns for three consecutive sessions. The author frames the consecutive declines as a way to look for stocks that may be…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This Chinese-language post describes an equity screen for stocks in the Metaverse theme. It combines a prior-session close above the 250-day moving average with a current control indicator reading above 21. The stated rationale is to focus on a popular…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note proposes a short-term Chinese A-share screen using daily price range, location, and a reported increase in positions. Its initial conditions seek stocks with intraday amplitude above 1%, exclude Beijing-listed shares, and require today’s position…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This note describes a Chinese A-share stock screen that combines turnover, company size, profitability, and a ranking based on recent money flow. It selects stocks with turnover between 3% and 12%, market capitalization below 10 billion yuan, and positive…

AkcijasĶīnas tirgiCenas impulssRiska pārvaldība
SuperMind

This post proposes screening Chinese stocks associated with the metaverse and beverage-related industries, with a volume ratio above 1.5 and below 6. Its explanation frames the sector selection as a way to focus on market themes and the volume condition as a…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This article describes a Chinese equity screen requiring price amplitude above 1%, a field labeled KONGB below 20, and turnover between 2% and 9%. It presents the combination as a way to find stocks with notable price movement, a low reading on the named…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This Chinese equity-screening proposal selects stocks with a positive but limited 10-day return, a signal described as major-player control on the previous day, and today’s increase in holdings above 5%. The article interprets the return range as evidence of…

AkcijasCenas impulssTirgus noskaņojumsRiska pārvaldība
SuperMind

This Chinese stock-screening proposal combines a price-amplitude threshold, simultaneous bullish signals from three technical indicators, and a turnover-rate band of 3% to 12%. It describes the screen as a way to find stocks with price movement and adequate…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This proposed A-share screen filters for stocks with turnover between 3% and 12%, market value below 10 billion yuan, no reported losses, and a listing history beyond a stated minimum such as three years. The stated rationale is that an established trading…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This stock screen combines daily price movement with a sequence of moving average crossovers and a Bollinger Band location filter. It seeks shares whose intraday amplitude exceeds a threshold, whose shorter moving averages cross upward in succession, and…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese stock selection rule using three daily conditions: amplitude above 1, the day’s maximum decline between 4% and 5%, and an increase in positions above 5%. It frames the combination as a way to find volatile stocks that have…

Ķīnas tirgiAkcijasSvārstīgumsAtgriešanās pie vidējās vērtības
SuperMind

This document presents a stock screen that combines an industry filter for beverage and alcohol businesses, a turnover-rate range of 3% to 12%, and a bullish KDJ crossover. The accompanying explanation describes KDJ as a technical signal and notes that the…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines three conditions: price amplitude above a threshold, positive institutional-flow activity, and a K value below a threshold from the KDJ indicator. The accompanying examples calculate amplitude from the high, low, and open, sum…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This stock-selection approach ranks shares using two measures: net capital flow and net large-order flow. Each measure is calculated over a period by taking net inflows less outflows and dividing by free-float market capitalization. Higher values are…

AkcijasĶīnas tirgiTirgus noskaņojumsFaktoru ieguldīšana
SuperMind

The post describes constructing a broad Chinese A-share stock universe by retrieving and combining constituents of the Shanghai Composite and Shenzhen Component indices. It recommends obtaining the constituent lists dynamically rather than fixing them once,…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

The document describes a Chinese A-share screen that selects stocks associated with the metaverse theme, applies a morning price-change ceiling, and requires market capitalization of at least 200 million. It also gives an example implementation that…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This post presents a daily pre-open stock screen that requires MACD to be above zero, share price below 12 yuan, and the product of the stock’s price change and net very-large-order volume to be positive. It combines a trend-oriented technical indicator with…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post outlines a Chinese equity screening rule using three conditions: turnover between 3% and 12%, a reversal or engulfing-style price pattern, and circulating market capitalization above 10 billion yuan. The text frames the turnover range as a…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This post describes a daily stock selection screen for Shenzhen main-board shares. It combines a ranking by capital inflows, keeping the top 100, with price-to-earnings ratios between 0 and 29.01 and price-to-book ratios between 0 and 3.11. The author…

AkcijasĶīnas tirgiFaktoru ieguldīšana