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
Quantpedia
86 dokumenter
TqSdk
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 Chinese stock-screening example combines a 14-period RSI below 65, three consecutive bearish candles, and a circulating share count no greater than 5.5 billion. The document presents the rules as a way to identify stocks showing short-term weakness…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

This Chinese stock-screening example ranks shares by capital strength and initially selects stocks with more than two limit-up sessions in the previous ten days and a gain below six percent at 9:25. The accompanying explanation treats stronger capital inflow…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This note proposes a short-term Chinese equity screen with three conditions: amplitude above 1, the current high equal to the highest high over two days, and the opening price near the ten-day moving average. It gives formula and Python examples, including a…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This forum post raises a factor-research reproducibility problem: a user reports that returns from reproducing four factors differ substantially from the platform’s published results. The suggested comparison holds the factor and backtest period constant,…

AksjerFaktorinvesteringHistorisk testingStatistikk
SuperMind

This note describes a Chinese equity screening rule that combines price movement, trading activity, opening behavior, and recent limit-up frequency. It selects stocks with amplitude above 1, current volume above 10,000 lots, a higher open, and more than two…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This Chinese equity screen looks for stocks with turnover between 3% and 12%, a negative product of the daily price change and net super-large-order quantity, and a pattern described as three consecutive declining sessions. It uses turnover and large-order…

AksjerTekniske indikatorerMarkedsmikrostrukturKinesiske markeder
SuperMind

This Chinese stock-selection idea filters for companies in the metaverse theme whose net major-investor buying during the opening auction is positive and whose KDJ indicator has just formed a bullish crossover. The three conditions combine thematic exposure,…

AksjerTekniske indikatorerMarkedsmikrostrukturMarkedssentiment
SuperMind

This Chinese equity screen selects main-board stocks with a 14-period RSI below 65, a daily gain greater than 1%, and an increase-in-position share above 5%. The note interprets the position increase as a possible sign of near-term capital inflow and pairs…

AksjerTekniske indikatorerMomentumMarkedssentiment
SuperMind

This note describes a Chinese equity screen combining a positive MACD reading with a favorable company classification and a circulating market value between 5 billion and 10 billion yuan. It frames the approach as a blend of technical momentum and company or…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This post outlines a technical screen for Chinese stocks in the metaverse theme. It requires the stock’s price to be above its five-day moving average and applies a rule intended to identify an arc-shaped price pattern. The document describes these…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This post describes a daily, after-close screen for Chinese equities. It selects stocks whose MACD line is above zero, ranks candidates by individual-stock popularity, and restricts turnover to between 2% and 9%. It explains the indicators as rough proxies…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The post proposes an A-share stock screen centered on a reported increase in holdings above 5% and a relationship between price change and net large-order flow. It also refers to 2021 performance, then adds market capitalization above 10 billion and a…

AksjerKinesiske markederMarkedsmikrostrukturRisikostyring
SuperMind

This Chinese-language post describes a stock-selection screen focused on the metaverse concept. It requires the 30-day moving average to be rising and filters stocks using a measure combining the prior turnover rate with the ratio of today’s auction volume…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This proposed stock screen looks for companies with daily high-low range above 1%, market capitalization below 10 billion, and no losses. The initial description refers to 2021 data; the refined version adds positive net income in each of the latest four…

AksjerTekniske indikatorerRisikostyringPosisjonsstørrelse
SuperMind

This stock-selection approach filters for companies in the beverage and alcohol import-export industry, a 14-period RSI below 65, and return on equity above 15% for five consecutive years. It combines a price-based indicator with an industry classification…

AksjerTekniske indikatorerFaktorinvestering
SuperMind

This post outlines a stock selection rule that combines MACD above zero, a favorable company classification, and previous-day actual turnover between three and twenty-eight percent. It interprets the MACD condition as a positive technical signal and the…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This post proposes a Chinese equity screen combining recent price-limit events, trading activity, and an increase in position holdings. Its stated initial conditions are more than two limit-up days within ten days, prior-day turnover above sixty million, and…

AksjerMomentumKursbruddTekniske indikatorer
SuperMind

This proposed screen targets stocks associated with the metaverse theme and combines an arc-shaped price pattern with a rising K value from the KDJ oscillator. The explanation treats a rising K value as a sign of improving bullish momentum. The formula and…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese-equity screening rule selects companies with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, total market value below 10 billion yuan, and positive reported profits. Turnover is used as a…

AksjerKinesiske markederFaktorinvesteringStatistikk
SuperMind

This note describes a stock screen combining daily amplitude above a stated threshold, a positive weekly MACD signal, and first-level buy volume greater than sell volume. It presents the buy-versus-sell volume condition as a way to gauge near-term trading…

AksjerTekniske indikatorerMomentumMarkedsmikrostruktur
SuperMind

The document presents a Chinese A-share screening rule that selects stocks with a daily high-low range exceeding one percent, at least one limit-up session in the prior 25 trading days, and a high ranking on a large-order net-volume measure. The combined…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This overview explains mean reversion as a tendency for a time series to move back toward a typical level, contrasting it with a random walk and relating the idea to the Ornstein–Uhlenbeck process. It describes the Augmented Dickey-Fuller test as a unit-root…

Tilbakevending mot gjennomsnittetStatistikkTekniske indikatorer