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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
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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
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TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
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Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
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Amberdata research
Dokumentu skaits: 766
FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
Dokumentu skaits: 340
QuantStart
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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
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quant-trading
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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 Chinese-language post describes a stock screen combining three conditions: prior-day amplitude above 1%, tradable share count no greater than 5.5 billion, and a K value below 20. The K measure places the latest close within the preceding 20-session…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This post describes an equity screening recipe that ranks stocks by volume ratio, uses MACD to identify a purported rounded-bottom pattern, and limits the 10-day price gain to a stated range above zero and below 35. The intended logic is to find stocks with…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

The post proposes a U.S. ETF portfolio with fixed target weights: 30% in long-term Treasury exposure, 25% in gold, 20% in intermediate-term Treasury exposure, 15% in a triple-leveraged Nasdaq-100 fund, and 10% in a double-leveraged S&P 500 fund. It asks for…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaPozīcijas apjoma noteikšanaASV tirgi
SuperMind

This stock screen looks for amplitude of at least 1, a closing price above its 5-day moving average, and a positive one-period change in the KDJ indicator’s K line. The post interprets amplitude as a sign of price movement, the moving-average condition as…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock selection method combines three conditions: price amplitude above 1, a weekly 5-period moving average crossing above the 10-period average, and prior-day actual turnover between 3% and 28%. The document frames amplitude and moving averages as…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This article proposes screening stocks for a daily price range above 1%, a weekly MACD condition above zero, and ranking by individual-stock “heat.” It includes a formula reference for the range and MACD conditions, plus a Python sketch that attempts to…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

This article describes a basic A-share stock screen combining turnover, company size, profitability, and a short-term price condition. It filters for turnover between 3% and 12%, market capitalization below 10 billion yuan, positive net income, and a…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

This Chinese equity screen selects stocks associated with the metaverse theme when the previous day’s actual turnover rate is between 3% and 28% and floating shares do not exceed 5.5 billion. The turnover band is presented as a way to focus on stocks with…

Ķīnas tirgiAkcijasTirgus mikrostruktūraRīkojumu izpilde
SuperMind

This note describes a Chinese equity screening rule combining three conditions: daily amplitude above 1, circulating market capitalization above 10 billion yuan, and the 20-day moving average above the 120-day moving average. The moving-average relationship…

Ķīnas tirgiAkcijasSekošana tendenceiTehniskie indikatori
SuperMind

This Chinese-language post describes an equity screen for Shenzhen Main Board stocks. It combines RSI below 65 with a tradable market capitalization of 5–10 billion yuan, price-to-earnings ratio between 0 and 29.01, and price-to-book ratio between 0 and…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This proposed stock screen combines three short-term conditions: price amplitude above one, a top-five ranking by the day’s auction amount, and positive afternoon net inflow from large orders. The accompanying explanation treats amplitude and auction…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This post describes an A-share screening rule that requires at least five moving averages to converge, a stock concentration measure below a stated threshold, and a gain at 9:25 below a stated ceiling. It proposes that clustered averages may indicate a…

AkcijasTehniskie indikatoriĶīnas tirgiVēsturisko datu pārbaude
SuperMind

This Chinese-language post proposes an A-share stock screen combining amplitude above one, a rounded price pattern, and annual revenue in 2021 exceeding revenue in 2018 by a stated ratio threshold. It interprets amplitude as a way to find active stocks, the…

AkcijasTehniskie indikatoriĶīnas tirgiSvārstīgums
SuperMind

This A-share screen combines daily amplitude above 1%, a candlestick pattern described as a morning star, and return on equity above 15% for five consecutive years. It aims to pair a technical reversal-style signal with a sustained profitability filter. The…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This A-share screen combines RSI below 65, daily amplitude above 1%, and more than two limit-up days within ten days. The article frames the combination as a way to find stocks with strong recent price action. It describes RSI, amplitude, and limit-up…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This A-share screen seeks companies with market capitalization below 10 billion yuan, positive P/E, no reported losses, and daily price amplitude above 1%. The article presents amplitude as a sign of trading activity, positive P/E and profitability as basic…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This A-share screening rule combines turnover between 3% and 12%, a newly formed KDJ golden cross, and a stated daily maximum decline between 4% and 5%. The article describes the turnover band as a liquidity filter, the cross as a directional signal, and the…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This post proposes an equity screen combining daily high-low range, five consecutive years of return on equity above 15%, and a rising KDJ K value. Its expanded version adds a market-capitalization band of 5–10 billion yuan and a price-to-book ceiling of…

AkcijasFaktoru ieguldīšanaTehniskie indikatoriĶīnas tirgi
SuperMind

The document outlines a screen for stocks in a metaverse-related category. It selects stocks with previous-day turnover above 8% and a price range over roughly the past month that the article uses as a proxy for having experienced a limit-up move. It…

AkcijasCenas impulssTirgus noskaņojumsĶīnas tirgi
SuperMind

The document describes a stock screen for companies in the metaverse theme. It selects stocks whose previous close is at or above the 250-day moving average and whose price change around the 9:25 session reference is below 6%. The article also gives sample…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

The proposed screen selects Chinese stocks using three filters: daily price amplitude above one percent, positive afternoon large-order net inflow as represented by a price and volume condition, and a turnover-adjusted ratio of the current auction volume to…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This document describes a Chinese equity screening rule that combines turnover between 3% and 12%, at least one limit-up move in the prior 25 days, and return on equity above 15% for five consecutive years. It frames the conditions as a way to find actively…

Ķīnas tirgiAkcijasCenas impulssFaktoru ieguldīšana
SuperMind

The document describes a Chinese equity screen that combines daily price range, a history of limit-up moves, and a ranking by a measure labeled fund strength. Its stated rules look for stocks with an amplitude above 1%, at least two limit-up events during…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss