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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
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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
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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

The document proposes a Chinese stock-screening rule combining three conditions: today’s increase in shareholding proportion exceeds a threshold, large-order net inflow is positive during the afternoon, and the 30-day moving average is rising. The stated…

AksjerMomentumTekniske indikatorerStatistikk
SuperMind

The document describes a short-term equity screen for main-board stocks. It selects shares with turnover between 3% and 12%, a K indicator below 20, and a daily gain above 1%. The post also gives a reference expression and a sample Python workflow that…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This note presents a Chinese-equity screening approach that ranks stocks by relative volume and selects prices between the middle and upper Bollinger Bands, while also considering an early-session gain threshold. Its initial description uses a gain below 6%,…

Kinesiske markederAksjerTekniske indikatorerVolatilitet
SuperMind

This stock selection method focuses on companies classified in the metaverse industry. It filters for a volume ratio between 1.5 and 6 and then keeps stocks in the top 10% by large-order net flow. The intended idea is to find shares experiencing elevated…

AksjerKinesiske markederMarkedsmikrostrukturMomentum
SuperMind

This proposed stock screen combines a technical condition with a dividend measure. It calls for RSI below 65, a positive product of percentage price change and a large-order net-flow measure, and a 2019 dividend ratio above 25%. The article describes the…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This A-share screening rule combines daily turnover between 3% and 12%, market capitalization below 10 billion yuan, a profitability condition based on return on equity, and price amplitude above 1. It is intended to focus on smaller companies that are…

AksjerFaktorinvesteringRisikostyringKinesiske markeder
SuperMind

This A-share stock screen selects shares with a 14-period RSI below 65, a circulating market capitalization between 5 billion and 10 billion yuan, and no limit-up close on the previous day. The stated rationale is to use RSI as a short-term weakness filter,…

AksjerTekniske indikatorerTilbakevending mot gjennomsnittetKinesiske markeder
SuperMind

This A-share stock screen combines a 14-period RSI below 65 with three consecutive sessions in which the close is below the open, plus a stated control-ratio threshold. The article frames the conditions as a way to find technically weak stocks that may…

AksjerTekniske indikatorerTilbakevending mot gjennomsnittetKinesiske markeder
SuperMind

This article introduces a proposed relationship between the intensity of market capital flows and investors’ choice of equity style. It suggests that when flows are subdued, style investors tend to retain their existing direction, while unusually strong…

AksjerFaktorinvesteringStatistikk
SuperMind

This A-share stock screen selects companies classified in the metaverse sector, limits the previous session’s morning opening gain to under six percent, and requires the prior closing price to sit above its 250-day moving average. The article frames the…

Kinesiske markederAksjerTekniske indikatorerTrendfølgende handel
SuperMind

This Chinese-equity screening proposal combines a reported increase in investor positions above 5%, a daily return constrained to a narrow band, and an opening gain below 6%. The post’s description gives the daily-return limits as below 2.6% and above -5%,…

AksjerMomentumTekniske indikatorerRisikostyring
SuperMind

This proposed stock screen combines three conditions: daily amplitude greater than 1, a shrinking negative MACD histogram on a 15-minute chart, and price near the ten-day moving average. The rationale is to find volatile stocks where downside momentum may be…

AksjerTekniske indikatorerVolatilitetMomentum
SuperMind

This stock-screening approach selects equities with MACD above zero, a positive return over ten days capped at 35%, and a qualifying enterprise characteristic. The article frames positive MACD as evidence of an upward trend, the return band as a way to limit…

AksjerTekniske indikatorerMomentumRisikostyring
SuperMind

This proposed Chinese A-share screen combines three conditions: MACD above zero, trailing price-to-earnings ratio above zero, and substantial large or extra-large order volume during the opening auction. It is intended to run after the auction ends each…

AksjerTekniske indikatorerMomentumOrdreutførelse
SuperMind

This stock screen combines four proposed conditions: a metaverse industry classification, a rounded or arc-like price pattern, association with a robotics concept, and circulating market value below a stated threshold. The article explains that the small-cap…

AksjerKinesiske markederTekniske indikatorerStatistikk
SuperMind

This Chinese stock-selection example combines a turnover-rate band with an order-flow ratio and a rising KDJ stochastic value. The stated screen looks for turnover between 3% and 12%, outside volume more than 1.3 times inside volume, and a positive…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese-language post describes a stock screen that selects shares with turnover between 3% and 12%, an initial listing year of 2021, and a candle formation labeled a Kute Intelligence Morning Star. The pattern is framed as a possible reversal after a…

AksjerTekniske indikatorerKinesiske markederHistorisk testing
SuperMind

This A-share screening proposal looks for stocks with MACD above the zero line, a share price below 12 yuan, and revenue growth exceeding 10% over the prior three years. It combines a technical momentum condition and a low nominal price with a fundamental…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

This A-share stock screen combines an amplitude threshold above 1, a prior-day 9:15 matched price at the limit-down level, and a rounded-bottom condition. The article offers CCI below -100 as a possible numerical proxy for the rounded shape, then gives…

AksjerVolatilitetTilbakevending mot gjennomsnittetTekniske indikatorer
SuperMind

This A-share screening proposal combines an RSI reading below 65, an outer-to-inner trading volume ratio above 1.3, and three consecutive declining closes. The article describes the conditions as a way to find stocks with weak recent price action that might…

AksjerTilbakevending mot gjennomsnittetTekniske indikatorerKinesiske markeder