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
WonderTrader
14 dokumenter
Alphalens
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-selection note combines three conditions: daily price amplitude above a threshold, the current high matching the highest value across two days, and positive OBV. The intended screen seeks stocks showing substantial short-term movement, a…

AksjerTekniske indikatorerMomentum
SuperMind

This Chinese stock-selection rule combines three technical conditions: daily price amplitude above 1%, a positive 10-day return below 35%, and a newly formed bullish KDJ crossover. The article interprets the amplitude threshold as selecting stocks with…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

The document proposes screening Chinese stocks associated with the metaverse theme, requiring a positive institutional-flow measure and a 20-day moving average above the 120-day moving average. It frames the industry filter as a way to target a developing…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

The document describes a Chinese equity screen combining daily turnover, the relationship between price change and super-large-order net flow, and a comparison of auction volume with the prior day’s volume. The written rule requires turnover from 3% to 12%,…

Kinesiske markederAksjerMarkedsmikrostrukturTekniske indikatorer
SuperMind

This proposed equity screen ranks stocks by incoming capital, then filters for larger free-float market capitalization and a rising trend in which the 20-day moving average is above the 120-day average. The article describes fund-flow measures such as…

AksjerKinesiske markederTrendfølgende handelTekniske indikatorer
SuperMind

This Chinese stock-screening proposal combines a daily price-range filter, three moving-average crossover conditions, and an upward-sloping short moving average. The article frames the expanding average structure as a sign of strengthening upward momentum.…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This stock-selection idea filters companies classified in the metaverse industry by their prior-day actual turnover and by whether the close is above a five-day moving average. The stated rationale is that the industry screen narrows the universe, turnover…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This article describes a stock screen that combines turnover between 3% and 12%, a newly formed KDJ golden cross, and revenue in 2021 more than 1.1 times revenue in 2018. The proposed logic blends a measure of trading activity, a technical signal, and a…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This article outlines a stock screen for shares with turnover between 3% and 12%, codes beginning with 60, and a MACD value below zero two trading days earlier. The stated rationale is to combine a moderate activity filter with a lagged technical indicator…

AksjerKinesiske markederTekniske indikatorerRisikostyring
SuperMind

This article describes a Chinese stock screen combining three conditions: price amplitude above 1, a “morning star” candlestick pattern in Kute Intelligent, and a positive 10-day gain below 35%. It presents the approach as a way to find active stocks with…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This stock selection proposal combines three technical filters: an intraday range above a threshold, a positive ten-day return capped below a stated upper bound, and weekly MACD above its zero line. The article presents volatility as a way to identify active…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This stock selection proposal combines price trend, trading activity, opening strength, and recent returns. It describes choosing shares whose price is above five moving averages, with current volume above the stated threshold, an opening price above the…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

The document describes a Chinese stock screen combining daily price range, a turnover measure adjusted by the ratio of current auction volume to prior-day volume, and evidence of a recent limit-up move. It frames these inputs as signs of active trading,…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This community post outlines a Chinese stock-selection idea that ranks shares by a measure of capital strength, looks for a morning-star pattern associated with a bullish reversal, and limits the 9:25 a.m. price gain to below 6%. The author presents capital…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This community post proposes a screen for Chinese equities combining a market capitalization below 10 billion yuan, no reported past losses, a positive intraday increase in holdings above 5%, and an auction-stage price change between negative 2% and positive…

AksjerKinesiske markederTekniske indikatorerHistorisk testing
SuperMind

This stock selection rule screens Chinese metaverse-related equities for actual turnover between 3% and 28% two sessions earlier, alongside a seven-session sequence of declining closes. The post gives both a formula-style condition and a Python example, and…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This Chinese-language post describes a stock selection screen based on three market conditions: daily price amplitude above a threshold, turnover between specified bounds, and a weekly bullish signal. The rationale is that more active, volatile stocks may…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

The proposed screen selects main-board Chinese stocks in the metaverse sector based on two short-term conditions: turnover above 8% on the prior day and a gain above 1% today. The document gives a concise description of the rule and reference formulas, then…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

This A-share screening idea combines three conditions: daily amplitude above 1%, a ranking by individual-stock heat, and a 9:25 a.m. gain below 6%. The accompanying explanation treats amplitude as a sign of activity and stock heat as a proxy for market…

AksjerKinesiske markederTekniske indikatorerOrdreutførelse
SuperMind

This proposed equity screen combines three filters: at least five moving averages are said to converge, the stated 9:25 price gain must remain below a threshold, and the company must have had a high dividend payout ratio in 2019. The post presents…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet