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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
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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
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FMZ guides
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pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
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Zipline
Dokumentu skaits: 22
FMZ live strategies
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Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
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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 selects companies in the metaverse sector classified as technology firms when the KDJ indicator has just formed a bullish crossover. The proposed selection is run before 10:00 on each trading day and is limited to stocks currently available…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-selection proposal screens companies in the metaverse sector for a limit-up event in a prior 25-day window and at least one daily gain of 10% or more during the latest 25 trading days. It presents the conditions as a way to identify stocks…

Ķīnas tirgiAkcijasCenas impulssCenas izrāviens
SuperMind

The post proposes screening Chinese stocks using a rising DEA component of MACD and an RSI below 65, with a stated focus on 2021. It references RSI with a 14-period setting and MACD with 12, 26, and 9 periods, then provides sample Python code that loops…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-screening idea combines relative trading volume with a short-term trend filter. It ranks stocks by the volume ratio, treating higher readings as signs of stronger recent trading activity, and selects the top-ranked names. A second condition…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This note presents a Chinese A-share screen for stocks associated with the metaverse theme. Its initial description combines turnover above 8% on the previous day with a positive, capped 10-day return. The final proposed screen adds a market-cap ranking…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This note describes a Chinese A-share screen combining daily price movement with order-flow data near the market open. It selects stocks with an amplitude above 1%, a positive but bounded 10-day return, and aggregate large and extra-large buy volume during…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

The document starts with a Chinese equity screen that excludes Beijing-listed shares, requires amplitude above 1%, and selects stocks whose weekly MACD is above zero. It then proposes a more restrictive variant: amplitude above 3%, a rising MACD below zero…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document presents a Chinese equity screen combining three conditions: daily amplitude above 1%, a control-related measure above 21 in absolute value, and prior-day actual turnover between 3% and 28%. It frames amplitude as a measure of price movement,…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

The document describes a daily Chinese equity screen requiring price amplitude of at least 1%, turnover above 2% and no more than 9%, and the 20-day moving average above the 120-day average. The combination seeks stocks with some price movement and trading…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The proposed stock screen focuses on the metaverse industry and combines a price condition with short-term momentum. It selects shares whose closing price is above the five-day moving average and whose KDJ K value has risen compared with its value two…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screen combines three conditions: amplitude above 1%, a date in 2021, and previous-day turnover above 8%. The document frames high amplitude as a sign of greater price movement and high turnover as a possible indicator of strong market…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This Chinese equity screen selects stocks with price amplitude of at least 1%, turnover above 2% and below 9%, and more than a year since listing. The proposed rationale is that amplitude and turnover reflect trading activity and volatility, while a longer…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This Chinese equity screening rule selects stocks with daily amplitude above 1%, at least two limit-up events in the prior 500 days, and a positive institutional-flow indicator. It combines a volatility filter, a historical price-momentum signal, and a…

AkcijasĶīnas tirgiSvārstīgumsCenas impulss
SuperMind

This stock screen combines three daily price conditions: a stated amplitude above one, an intraday maximum decline between four and five percent, and a close above the prior day’s low. The proposed interpretation is that a sharp decline followed by a close…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriĶīnas tirgi
SuperMind

The article proposes a Chinese main board stock screen using three conditions: turnover rate between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and a 2019 dividend-per-share measure divided by closing price that exceeds 25…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaVēsturisko datu pārbaude
SuperMind

This document presents an A-share stock screen based on a turnover ratio between stated bounds, a newly formed KDJ bullish cross, and a ranking by individual-stock heat. It interprets these filters as proxies for liquidity, price momentum, and investor…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This document outlines a technical stock screen combining three conditions: price amplitude above a threshold, a KDJ-related value below a threshold, and a recent bullish KDJ crossover. It characterizes the resulting picks as volatile, short-term…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

The document proposes screening Chinese stocks for daily amplitude above 1%, an opening price near the ten-day moving average, and a weekly five-period moving average crossing above the ten-period average. It interprets larger amplitude as evidence of…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese stock screen that selects shares with turnover between 3% and 12% and a positive ten-day gain below 35%, then ranks qualifying names by circulating market capitalization divided by total market capitalization. It presents the…

AkcijasĶīnas tirgiCenas impulssFaktoru ieguldīšana
SuperMind

This stock-screening idea combines a relative strength index below a stated ceiling, a positive daily price move, and a main-board listing requirement with buying activity from large and extra-large orders during the auction. The stated rationale is to…

AkcijasTehniskie indikatoriTirgus noskaņojumsTirgus mikrostruktūra
SuperMind

This screening idea looks for metaverse-related stocks with a circulating share count at or below 5.5 billion and a best-bid queue larger than the best-ask queue. The proposed interpretation is that the larger bid quantity may indicate near-term buying…

AkcijasTirgus mikrostruktūraTirgus noskaņojums
SuperMind

This stock screen targets companies in the metaverse industry when the KDJ indicator has just produced a bullish crossover and the reported holdings of the top ten shareholders have increased over five days. It combines a price-based signal with a measure…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock selection rule screens for turnover between 3% and 12%, an opening price within 5% of the ten-day simple moving average, and circulating market capitalization above 10 billion yuan. The document frames turnover as a measure of trading activity,…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

The document describes a short-term Chinese equity screen combining three conditions: daily price amplitude above one, circulating market capitalization above 10 billion yuan, and a prior session described as a third consecutive limit-up. Its stated…

AkcijasĶīnas tirgiCenas impulssSvārstīgums