Hopp til innhold

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

This article argues that divergence and MACD crosses are best interpreted as signs of changing momentum, rather than as automatic buy or sell commands. It describes divergence as evidence of countertrend activity, with the strength of that activity helping…

Tekniske indikatorerMomentumTrendfølgende handelRisikostyring
SuperMind

This Chinese stock screening example combines three filters: membership in the metaverse concept group, a closing price above the previous day’s low, and a closing price below 12 yuan. It presents the first condition as a way to focus on a market theme, the…

AksjerTekniske indikatorerPosisjonsstørrelseRisikostyring
SuperMind

This stock-selection idea screens shares with codes beginning in 60, average turnover between 3% and 12%, and KDJ readings below 20. The article frames the low KDJ values as a possible sign of a decline and potential reversal, and provides a formula…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

The proposed screen selects stocks in the metaverse industry with a stated circulating share float ceiling, then applies a daily candle condition. The article defines its “reversal” pattern as an opening price above the previous close followed by a close…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

The document describes a Chinese stock screen combining moderate turnover, at least one limit-up event in a recent lookback window, and a ranking based on net large-order flow. The stated rationale is that turnover approximates trading activity, a recent…

AksjerKinesiske markederMarkedssentimentMarkedsmikrostruktur
SuperMind

This note outlines a stock screen for companies with positive net profit and market capitalization below a stated ceiling, combined with a daily amplitude threshold and a prior-day 9:15 matching-price condition described as limit-down behavior. The article…

AksjerKinesiske markederVolatilitet
SuperMind

This note describes an equity screen that combines daily price movement with company profitability and a Bollinger Band condition. It seeks stocks with an amplitude above 1, return on equity above 15% for five consecutive years, and a close between the…

AksjerTekniske indikatorerFaktorinvestering
SuperMind

The post outlines a Chinese-equity screening rule that combines daily price range, a stock-code prefix beginning with 60, and a recent large upward move. It also suggests sorting qualifying stocks by market capitalization and provides example implementations…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This community post outlines a China A-share stock screen that excludes Beijing-listed companies and selects stocks with turnover between 3% and 12% and a positive but limited recent price gain. It then proposes refining the candidates using net profit…

AksjerKinesiske markederMomentumFaktorinvestering
SuperMind

This Chinese-language post describes an A-share screening idea that combines daily turnover between 3% and 12%, a newly formed KDJ bullish crossover, and a company-type filter. It frames turnover as a liquidity condition and the KDJ signal as a short-term…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This proposed Chinese equity selection rule screens for stocks with turnover between 3% and 12%, then requires the product of the day’s percentage price change and net buying flow attributed to very large orders to be positive. Eligible stocks are ranked by…

AksjerKinesiske markederMomentumMarkedssentiment
SuperMind

This stock-selection screen filters for turnover between 3% and 12%, circulating market capitalization between 1 and 55 in the stated units, and at least one daily gain of 10% or more during the previous 25 trading days. The post gives both a formula-style…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

The proposed equity screen selects stocks with RSI below 65, seven consecutive down sessions, and a 20 day moving average above the 120 day average. The combination looks for a recent pullback within a longer-term upward trend, using the RSI threshold as an…

AksjerTekniske indikatorerTilbakevending mot gjennomsnittetTrendfølgende handel
SuperMind

The document presents a Chinese stock selection rule combining daily amplitude above 1, a morning-star pattern, and weekly MACD above zero. Its indicator examples add moving-average ordering and other price, volume, and size conditions. The intended…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The document describes a Chinese equity screen requiring a position increase above 5%, evidence of large-investor control on the prior day, and a gain below 6% at 9:25. Its rationale is that rising holdings may indicate inflows, institutional ownership may…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This stock screen combines three filters: a daily price range above a stated threshold, the closing price above its five-day moving average, and a dividend payout ratio above 25% for 2019. The article presents the range condition as a way to find stocks…

AksjerTekniske indikatorerVolatilitetKinesiske markeder
SuperMind

This stock-selection idea filters for companies in the metaverse industry, then looks for a rising five-day moving average and a potential start of a strong advance. The proposed rules combine an industry classification with price and volume conditions,…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

This Chinese equity screening idea combines three signals: today’s position increase share above 5%, the product of daily return and net large-order volume above 0.5, and a shortening MACD histogram green bar on a 15-minute chart. The document interprets the…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The strategy selects stocks in the metaverse industry that recorded a limit-up within the prior 25 days and have turnover between 3% and 12%. It calls for screening before 10 a.m. and selecting stocks eligible to trade that day. The cited formula also…

AksjerKinesiske markederTekniske indikatorerKursbrudd
SuperMind

The document outlines an equity screen combining turnover, circulating market capitalization, and a morning star candlestick pattern. Its stated criteria use a turnover range of 3% to 12%, a circulating share count cap of 5.5 billion shares in the headline,…

AksjerTekniske indikatorerRisikostyring
SuperMind

The post describes an equity screen combining company profitability, market capitalization, and a measure of today’s increase in holdings. Its stated conditions include companies without losses and a buying-activity threshold above 5%. The title refers to…

AksjerKinesiske markederStatistikk
SuperMind

The document describes a Chinese A-share screening approach for Shenzhen main-board stocks. It selects shares with amplitude above 1, price-to-earnings ratios from 0 to 29.01, price-to-book ratios from 0 to 3.11, market capitalization below 10 billion yuan,…

AksjerKinesiske markederFaktorinvesteringTekniske indikatorer
SuperMind

This strategy selects the ten lowest-priced eligible stocks within the SSE 50 universe, excluding special-treatment, suspended, and delisted stocks. It allows each holding to remain open for up to twenty days and sells a stock if its decline exceeds eight…

AksjerKinesiske markederHistorisk testingRisikostyring