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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 describes a Chinese mainland stock screen combining three conditions: turnover between 3% and 12%, a daily gain above 1%, and large plus extra-large buy volume in the auction above the stated threshold. It presents the screen as a way to seek…

AksjerMomentumMarkedsmikrostrukturKinesiske markeder
SuperMind

The document describes a Chinese equity screen for companies classified in the metaverse sector. It selects stocks with a positive return and turnover between 2% and 9%, aiming to favor shares with some trading activity while avoiding very high or very low…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

The document describes a Chinese stock selection rule combining a MACD condition, a recent high, and a dividend-related filter. Its stated formula looks for MACD above zero, the current high matching the highest high over two days, and a 2019 dividend ratio…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This document outlines a short-term stock screen for Chinese equities. It combines daily price amplitude above 1%, market capitalization below 10 billion yuan, positive earnings, and a low KDJ reading (K at or below 20) intended to identify stocks near a…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

This screen selects stocks with turnover between 3% and 12%, three consecutive declining closes, current volume above 10,000 lots, and an opening price above the previous close. The article presents these filters as a combination of price action, trading…

AksjerTekniske indikatorerMomentumRisikostyring
SuperMind

This stock-screening idea ranks candidates by capital-flow strength and filters for two price-history conditions: at least one limit-up event during the previous 25 days and at least two during the previous 500 days. The article frames recent and longer-term…

AksjerMomentumHendelsesdrevet handelRisikostyring
SuperMind

This article introduces Bollinger Bands as a volatility-based technical indicator built around a moving average. It describes the middle band as an N-day average of closing prices and the upper and lower bands as that average plus or minus a multiple of the…

AksjerTekniske indikatorerVolatilitetTilbakevending mot gjennomsnittet
SuperMind

The post presents a stock-screening idea that combines a morning star candlestick pattern, associated with a possible bullish reversal, with a shrinking MACD histogram on a 15-minute chart. It describes using both conditions to identify candidate buy signals…

AksjerTekniske indikatorerHistorisk testing
SuperMind

The document explains factors as measurable characteristics of assets that can serve as inputs to quantitative models and investment strategies. It outlines four common feature-engineering steps: cleaning missing or erroneous observations, standardizing…

FaktorinvesteringMaskinlæringStatistikkAksjer
SuperMind

The document describes a stock screen combining recent buying activity, the ratio of actively bought to actively sold volume, and a historical dividend payout measure. Its main text specifies a buying-activity share above 5%, an outside-to-inside volume…

AksjerMomentumMarkedssentimentRisikostyring
SuperMind

The document proposes a Chinese stock screen that pairs a 14-period RSI below 65 with year-over-year net profit growth above 20% and no more than 100%, plus a return on equity above 15% over five years. It presents the conditions as a way to combine a…

Kinesiske markederAksjerTekniske indikatorerFaktorinvestering
SuperMind

The document presents a Chinese equity screening idea combining daily price range, a recent three-session limit-up streak, and a rising DEA trend indicator. Its stated rationale is that a large range identifies active stocks, a sequence of limit-ups signals…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This stock selection approach combines three filters: a price-range threshold, a bullish crossover of the five-week and ten-week moving averages, and a minimum time since listing. The post explains the crossover and trading-range conditions as technical…

AksjerTekniske indikatorerHistorisk testingMaskinlæring
SuperMind

This post describes a short-term screen for main-board Chinese stocks. It selects shares with an intraday high-low range above a threshold, a high large-order net-flow ranking, and a daily gain above a threshold, then ranks candidates by market…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

This Chinese stock-screening proposal selects shares with a daily high-low range greater than 1 that had three consecutive limit-up sessions as of the previous day, while excluding the STAR Market. The article interprets the range as a sign of volatility and…

AksjerKinesiske markederMomentum
SuperMind

This stock-screening recipe combines a daily high-low range greater than 1, prior-day actual turnover between 3% and 28%, and a MACD reading below zero from two days earlier. The article frames the lagged MACD condition as a way to identify stocks that may…

AksjerKinesiske markederTekniske indikatorer
SuperMind

This Chinese stock-screening example combines three filters: the 20-day moving average must exceed the 120-day average, the 14-period RSI must be below 65, and candidates are ordered by a measure of stock popularity or trading heat. The stated rationale is…

AksjerKinesiske markederTekniske indikatorer
SuperMind

The document outlines a stock screen combining a daily high-low range threshold, return on equity above a stated level for five consecutive years, and a selected company characteristic. It presents the range as a way to identify stocks with price movement…

AksjerFaktorinvesteringTekniske indikatorerHistorisk testing
SuperMind

The document describes a Chinese equity screening rule that places stocks in a candidate pool when their high-to-low price range exceeds 1%, the trading year is 2021, and company scale is at least 200 million. It gives example implementations in a charting…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

This stock selection approach combines three filters: a 14-period RSI below 65, best bid volume greater than best ask volume, and at least two limit-up sessions in a 500-day lookback. The article frames these conditions as a way to find shares with prior…

AksjerTekniske indikatorerMomentumMarkedssentiment
SuperMind

The post proposes screening Shanghai-listed A-shares using an RSI below 65 and an external-to-internal trading volume ratio above 1.3. Its example also filters out stocks whose current price change is at or below negative 3 percent. The stated rationale is…

Kinesiske markederAksjerTilbakevending mot gjennomsnittetTekniske indikatorer
SuperMind

This Chinese stock-screening note describes a momentum-oriented rule for the metaverse industry: select stocks that had a limit-up event within the prior 25 days and whose high is at a two-day high. It says to run the screen before 10 a.m. and trade the…

Kinesiske markederAksjerMomentumKursbrudd
SuperMind

This A-share screening proposal places stocks in a candidate pool when they meet three technical conditions: daily amplitude above a stated threshold, a newly formed KDJ crossover, and at least five coincident moving averages. The post explains these filters…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese A-share screening proposal combines daily price range, weekly MACD, a non-ST restriction, and a five-pen limit-up pattern. It describes selecting stocks before 10 a.m. and gives formula and Python examples intended to express the conditions. The…

AksjerKinesiske markederTekniske indikatorerMomentum