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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
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

The document presents a stock screen for securities whose codes begin with the specified Shanghai prefix, whose daily trading range exceeds a threshold, and whose moving averages are described as diverging upward. It includes a technical formula and a Python…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The document describes a Chinese equity selection rule combining turnover, the ratio of market buy volume to market sell volume, and institutional net buying. It filters for turnover between the stated bounds, a buy-to-sell volume ratio above the specified…

AksjerKinesiske markederMomentumMarkedsmikrostruktur
SuperMind

The document proposes a stock screen that combines price amplitude above one, a rising sequence of recent lows, and a positive price-to-earnings ratio. It presents these as technical and fundamental filters intended to identify shares with substantial…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This short programming example shows how to screen daily stock data with several conditions at once, then select only the desired columns. The example combines a date cutoff, a minimum trading amount, and a maximum closing price using boolean masks joined…

AksjerKinesiske markeder
SuperMind

This stock-selection rule screens companies associated with the metaverse theme, requiring a volume ratio above 1.5 and below 6, alongside circulating market value above 10 billion yuan. The rationale is to combine a thematic industry filter with relatively…

AksjerKinesiske markederTekniske indikatorer
SuperMind

This post describes an equity screen that combines membership in the metaverse concept group with two price conditions: the close must exceed the previous session’s low, and the open must fall within ten percent above or below the ten-day simple moving…

AksjerTekniske indikatorerKinesiske markederRisikostyring
SuperMind

This post describes a China A-share screening idea focused on stocks in the metaverse sector. It adds two filters: a morning price-change condition below six percent and a measure intended to indicate that large participants controlled trading on the prior…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This Chinese-language post outlines a stock screen combining three conditions: price amplitude above one, prior-day turnover above 60 million, and MACD above its zero line. It frames amplitude as a measure of price movement, turnover as a gauge of activity,…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The article describes a stock screen that excludes Beijing-listed shares, selects stocks with a daily high-low range above one percent, and applies a filter based on the prior day's turnover and the ratio of current opening-auction volume to the previous…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

This stock selection rule screens companies in the metaverse theme for a closing price above the five-day moving average, trading volume above the stated threshold, and an opening price above the previous close. The article presents these conditions as a way…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This article proposes screening stocks with turnover between three and twelve percent, displayed best-bid volume greater than best-ask volume, and a prior-day condition described as a 9:15 matched price at the daily limit-down. The first two filters are…

Kinesiske markederAksjerMarkedsmikrostrukturRisikostyring
SuperMind

This brief article presents ten questions about common assumptions in quantitative research. They concern whether researchers must be highly skilled in statistics, whether borrowed methods can be adopted without adaptation, and whether more variables, more…

StatistikkHistorisk testing
SuperMind

This article outlines a Chinese equity screen for stocks in the metaverse sector. It combines bullish technical signals, including MACD and short moving-average crossovers, with a filter intended to exclude stocks that hit the daily price limit on the…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

The proposed stock screen filters for amplitude above 1 and a closing price below 20, then ranks candidates by today's auction amount and selects the top five. The article also gives example indicator and Python logic, including a comparison of current and…

AksjerTekniske indikatorerKinesiske markederVolatilitet
SuperMind

This stock screen combines three technical conditions: daily amplitude above 1, MACD above its zero line, and closing price above the five-day moving average. The document explains these as filters for price movement and recent upward direction, then gives…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The document presents a Chinese equity screen that requires a 14-period RSI below 65, a circulating market value between 5 billion and 10 billion yuan, and exclusion of Beijing-listed A shares. The example code applies these filters and, when enough…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

The document describes a Chinese equity selection rule combining a daily range filter, afternoon large-order net inflow, and a score based on price change multiplied by a large-order volume measure. It ranks candidates by the resulting score and selects the…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

The stated screen looks for stocks with turnover between 3% and 12%, a listing year of 2021, and ownership concentration below 20%. The article treats lower concentration as a sign of more dispersed ownership and suggests that the turnover band may help…

AksjerKinesiske markederRisikostyringStatistikk
SuperMind

The screen selects stocks with turnover between 3% and 12%, beginning with the Chinese stock-code prefix 60, and keeps companies whose 2021 revenue exceeded their 2018 revenue by more than 10%. The article describes this as a way to combine trading activity…

AksjerKinesiske markederFaktorinvesteringStatistikk
SuperMind

This stock screen ranks companies by a measure of capital strength, such as net inflows or trading value, and requires at least two limit-up sessions within a 500-day window. The article frames the screen as targeting stocks with strong buying interest and…

AksjerKinesiske markederMomentumStatistikk
SuperMind

This Chinese stock-screening strategy combines a turnover range of 3% to 12%, at least one limit-up event in the prior 25 days, and positive net buying by major participants during the opening auction. The article presents a screening expression and a Python…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

The document describes a Chinese equity screen combining a daily price range above 1%, a condition that the prior session was not limit-up, and a recent three-session rise. It presents the screen as a way to find volatile stocks with positive price momentum…

AksjerMomentumVolatilitetKinesiske markeder
SuperMind

This Chinese-language post describes a short-term stock screen using three conditions: a 14-period RSI below 65, first-level buy volume greater than first-level sell volume, and prior-day trading value above 60 million. It frames the RSI as a price-condition…

AksjerTekniske indikatorerMarkedssentimentStatistikk
SuperMind

The document describes a Chinese equity screen combining daily price amplitude above 1%, membership in a robotics concept group, circulating market capitalization below 10 billion yuan, and a six-period RSI below 65. It gives example implementations in…

AksjerKinesiske markederTekniske indikatorerMomentum