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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
Quantopian-forelesninger
45 dokumenter
Binance API docs
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 outlines a Chinese equity screen combining a prior session’s high-low range greater than 1% with an opening price near the 10-day moving average. It adds a company-characteristics filter, suggesting traits such as growth or dividend profile, and…

AksjerKinesiske markederTekniske indikatorerKursbrudd
SuperMind

This brief post introduces a Python implementation of Markowitz portfolio theory, a framework for constructing portfolios by balancing expected return against risk. It says the article works through the theory and implementation, but the supplied document…

PorteføljekonstruksjonStatistikkHistorisk testing
SuperMind

This document describes a Chinese equity screen combining turnover, year-over-year net profit growth attributable to parent-company shareholders, and price position relative to Bollinger Bands. It selects stocks with turnover from 3% to 12%, profit growth…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This article describes a short-term stock screen that combines daily amplitude above 1, a daily loss between 4% and 5%, and a “round arc” chart pattern. It presents the pattern as a way to identify possible support and resistance areas, while the amplitude…

AksjerTekniske indikatorerVolatilitetRisikostyring
SuperMind

This post outlines a short-term stock-selection idea based on price range and large-order net flow, with reference to the 2021 market environment. Its explanation treats intraday amplitude and large-order activity as signs of market activity and sentiment.…

AksjerTekniske indikatorerMarkedssentimentKinesiske markeder
SuperMind

This Chinese stock-screening note describes a rules-based filter for robot-concept stocks with a stated turnover range of 3% to 12% and floating market capitalization below 10 billion yuan. From that group, it selects stocks whose MACD DEA line is rising.…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

This Chinese-language post describes a stock selection screen that ranks stocks by trading volume, keeps those with positive returns, and requires a positive gain over the past 10 days below 35%. It interprets higher volume as a possible sign of stronger…

AksjerMomentumKinesiske markeder
SuperMind

This document proposes screening Chinese stocks by three measures: more than two limit-up sessions within ten days, high turnover as a proxy for active capital, and a high ranking in large-order net volume, defined as aggressive buying minus aggressive…

AksjerKinesiske markederMomentumMarkedsmikrostruktur
SuperMind

This document describes a short-term screen for mainland Chinese stocks. It looks for daily price range above 1%, a reversal pattern described as an engulfing move, and a daily gain above 1%. The proposed refinement adds index membership constraints and…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This screening proposal selects Chinese stocks using three conditions: amplitude above a stated threshold, a K-line-related value below a threshold, and circulating market capitalization within a specified band. The text presents the market-cap range as 5–10…

Kinesiske markederAksjerTekniske indikatorerVolatilitet
SuperMind

This Chinese A-share screening proposal combines a turnover filter, a ceiling on circulating share count or float capitalization, and an upward arrangement of moving averages. Its examples describe turnover between 3% and 12%, a float limit stated as 5.5…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

A trader reports that the same strategy produces different results across backtest runs and simulated trading, including differences in selected securities, order quantities, and execution prices. The discussion offers possible explanations: randomness or…

Historisk testingOrdreutførelsePosisjonsstørrelse
SuperMind

This document outlines a short-term A-share selection rule using turnover from 3% to 12%, a ratio of external to internal trading volume above 1.3, non-ST status, and exclusion of stocks that have reached the daily limit. It also applies price conditions…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

This document describes a technical stock screen requiring MACD above zero, upward separation of moving averages, and a morning-star candlestick pattern. It presents MACD as a way to identify positive momentum, moving-average direction as a trend filter, and…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This document presents an A-share selection rule combining price amplitude above 1%, a candlestick condition described as a morning-star pattern, and turnover between 2% and 9%. It frames the candle pattern and amplitude as technical signals and turnover as…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This document describes a stock screen combining daily price amplitude above 1%, a circulating share count no greater than 5.5 billion, and turnover between 3% and 12%. It presents amplitude as a way to find more volatile stocks, the float-size ceiling as a…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

This Chinese equity screen selects companies with a daily high-low range above 1%, market capitalization no greater than 10 billion, positive profits, and at least one daily gain of 10% or more during the previous 25 trading days. The note presents the…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This Chinese stock-screening note combines a daily price-range condition with persistent profitability and a pre-open auction return filter. Its initial criteria are a price range of at least one unit, ROE above 15% for five consecutive years, and an auction…

AksjerKinesiske markederFaktorinvesteringTekniske indikatorer
SuperMind

This A-share screening proposal combines three conditions: MACD is above zero, the price-to-earnings ratio is positive, and the current close is above the prior day’s low. The note interprets the MACD filter as a sign of an upward trend, the valuation…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This note describes an A-share stock screen combining a daily price-range threshold, a 2021 date filter, and an increase in the K value of the KDJ indicator. Its indicator example adds conditions involving K crossing above D and reaching a high level; the…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

The article explains cloud mining as renting hashpower or leasing mining equipment from a remote operator in return for a share of potential mining proceeds. It contrasts this arrangement with owning and operating hardware, outlining the lower technical and…

KryptoRisikostyring
SuperMind

This Chinese stock selection method screens after each trading day’s close for shares with MACD above the zero line, parent-company net profit growth greater than 20% and no more than 100%, then ranks qualifying stocks by market attention. The document…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This Chinese equity screening idea combines three filters: market capitalization below 10 billion yuan, positive profits, and a current-day low below the previous day’s low. It also requires an intraday amplitude greater than 1, with an example…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

This stock-selection post proposes screening for a daily range above a threshold, excluding stocks that closed at the limit the previous day, and requiring several moving averages to align. The accompanying rationale is that larger ranges may offer more…

AksjerKinesiske markederTekniske indikatorerMomentum