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Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.

Quant Q&A
20,364 dokumenter
SuperMind
12,226 dokumenter
OKX Learn
8,431 dokumenter
Strategy library
7,910 dokumenter
MQL5 code base
7,090 dokumenter
BigQuant
3,481 dokumenter
Bitget Academy
3,298 dokumenter
MQL5 articles
3,012 dokumenter
TradingView scripts
1,976 dokumenter
ProRealCode
1,507 dokumenter
Deribit Insights
1,232 dokumenter
Machine Learning for Trading
1,124 dokumenter
arXiv papers
1,033 dokumenter
Amberdata research
766 dokumenter
FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
vn.py community
560 dokumenter
QuantInsti blog
511 dokumenter
Galaxy Research
340 dokumenter
QuantStart
246 dokumenter
Stratmill research code
219 dokumenter
Robot Wealth
195 dokumenter
NautilusTrader
191 dokumenter
Hummingbot docs
181 dokumenter
Paradigm research
175 dokumenter
Lumibot
164 dokumenter
Kraken Learn
163 dokumenter
Bibliotek for kvantkurs
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
144 dokumenter
Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
TqSdk
86 dokumenter
Quantpedia
86 dokumenter
Hyperliquid docs
79 dokumenter
Freqtrade
68 dokumenter
Hudson & Thames
62 dokumenter
Awesome Systematic Trading
61 dokumenter
backtrader
54 dokumenter
vn.py
50 dokumenter
Binance API docs
45 dokumenter
Quantopian-forelesninger
45 dokumenter
FMZ guides
38 dokumenter
pysystemtrade
34 dokumenter
Freqtrade docs
32 dokumenter
quant-trading
31 dokumenter
FinRL
28 dokumenter
Zipline
22 dokumenter
FMZ live strategies
21 dokumenter
Jesse
17 dokumenter
pyfolio
16 dokumenter
Alphalens
14 dokumenter
WonderTrader
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
9 dokumenter
QTPyLib
8 dokumenter
QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

12,226 dokumenter

SuperMind

The document presents a short-term Chinese equity screen combining prior-day price amplitude, a maximum tradable share count, and prior-day turnover within a specified band. Its rationale is that price movement may identify trading opportunities, smaller…

AksjerKinesiske markederTekniske indikatorerVolatilitet
SuperMind

This research summary compares linear valuation models with machine-learning methods for estimating the monthly fundamental value of stocks in 17 European countries. It constructs a mispricing signal from the difference between estimated fair value and…

AksjerMaskinlæringFaktorinvesteringStatistikk
SuperMind

The document describes a Chinese equity screen combining daily price movement and trading activity with a profitability filter. It selects stocks with an amplitude above 1, current volume above 10,000 lots, a higher opening price, and return on equity above…

Kinesiske markederAksjerTekniske indikatorerFaktorinvestering
SuperMind

This article describes a daily stock screen for companies classified in the metaverse sector. It looks for a fresh bullish KDJ crossover, requires the stock to have had trading activity in 2021, and limits selection to active stocks before 10:00. It provides…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

This article proposes a short-term Chinese equity screen combining three conditions: amplitude above 1, a prior-day 9:15 indicative match price at the limit-down price, and more than two limit-up days within the past ten days. It says the final candidates…

AksjerKinesiske markederMomentumVolatilitet
SuperMind

This document describes a Chinese A-share stock screen that combines trading activity, a technical trigger, and a capital-flow ranking. It selects stocks with turnover between 3% and 12%, a newly formed KDJ golden cross, and positive price movement, then…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This stock-selection note proposes screening equities for an RSI below a stated threshold, seven consecutive down sessions, and turnover within a specified band. The criteria combine a momentum oscillator, a sustained decline, and a liquidity or…

Kinesiske markederAksjerTilbakevending mot gjennomsnittetTekniske indikatorer
SuperMind

The document proposes a Chinese equity screen that combines a prior-day appearance on the market's notable-trading list with a price-range filter and ownership-concentration rankings. Its stated criteria are daily amplitude above 1%, a prior-day notable-list…

AksjerMomentumStatistikkHistorisk testing
SuperMind

This brief Chinese-language community discussion asks whether a strategy based on stocks opening with a gap up can remain effective over longer periods. The poster reasons that a gap may reflect meaningful buying demand and asks which momentum factors could…

AksjerMomentumKursbrudd
SuperMind

The document presents a Chinese equities screening idea that combines turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and up to 100%, and a price-range condition scaled by a large-order…

Kinesiske markederAksjerFaktorinvesteringTekniske indikatorer
SuperMind

This note proposes a short-term Chinese equity screen that combines daily price amplitude, price above the five-day moving average, and a price-change measure multiplied by a proxy for large-order activity. The intended interpretation is that substantial…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This note describes a Chinese equity screen requiring turnover between 3% and 12%, appearance on the previous day’s Dragon-Tiger list, and a selection period in 2021. It gives example expressions for applying those filters and mentions excluding stocks…

AksjerKinesiske markederTekniske indikatorerRisikostyring
SuperMind

This document outlines a Chinese equity screening idea combining three conditions: membership in the metaverse theme, a positive institutional-flow reading, and a current high that is the highest of the latest two days. It also includes example indicator…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This Chinese stock selection strategy filters for turnover between 3% and 12%, a positive product of price change and net super-large-order volume, and a 10-day return between 0% and 35%. The author presents the added 10-day return band as a way to focus on…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This document explains how to trade a cointegrated pair using entry and exit levels produced by a minimum-profit optimization method. It defines a spread from the two asset prices and a hedge coefficient. When the spread falls below the buy threshold, the…

ParhandelArbitrasjeStatistikkOrdreutførelse
SuperMind

This note describes a Chinese equity screening rule for stocks classified in the metaverse sector. It selects stocks whose latest close is above the previous close and whose current low matches the lowest low over either a 20-session or 30-session lookback.…

AksjerTekniske indikatorerRisikostyringKinesiske markeder
SuperMind

The document proposes a Chinese A-share stock screen focused on the metaverse theme. Its initial conditions are yesterday’s turnover above 8% and at least two limit-up events within 500 days. A later version adds a market-capitalization filter, described as…

AksjerKinesiske markederMomentumKursbrudd
SuperMind

This proposed Chinese stock screen selects beverage and alcohol companies with turnover in a stated range and a prior-day signal described as main-force control. The article also supplies platform formulas and a Python example. The code uses industry…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This proposed Chinese equity screen combines a robotics industry classification with a small circulating market capitalization, a price range condition, and a morning star candlestick pattern. The article presents the conditions as a way to find smaller…

Kinesiske markederAksjerTekniske indikatorerKursbrudd
SuperMind

This A-share screening recipe combines price movement, past limit-up events, and a weekly moving-average crossover. It seeks stocks with an amplitude above 1%, at least two limit-up events within 500 days, and a five-period weekly moving average crossing…

AksjerKinesiske markederTekniske indikatorerKursbrudd
SuperMind

This Chinese A-share stock screen combines a technical condition with fundamental growth and liquidity filters. It selects stocks with RSI below 65, parent-company net profit growth above 20% and no more than 100%, and prior-day trading value above 60…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese stock-selection rule focuses on companies classified in the metaverse sector. It calls for three technical indicators to cross upward simultaneously and constrains recent price change to a band from −5% to 2.6%. The named indicator conditions…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese A-share screening rule selects stocks with turnover between 3% and 12%, a positive product of the day’s price change and net large-order volume, and prior-day trading value above 60 million. The document presents these conditions as a way to…

AksjerKinesiske markederMarkedsmikrostrukturStatistikk