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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

This expert-advisor description outlines a tick-driven scalping system that compares short-window price returns with a rolling statistical baseline. It enters only when the move’s z-score exceeds a configurable threshold, then lets the user choose either…

ValutahandelHøyfrekvenshandelStatistikkRisikostyring
SuperMind

This Chinese-language document presents an A-share stock screen based on turnover between 3% and 12%, at least one limit-up event during the prior 25 days, and floating market value between 5 billion and 10 billion yuan. It includes a technical formula and a…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This Chinese-language document outlines an A-share screening rule that combines MACD with a company classification filter. It seeks stocks where MACD is above zero and the MACD histogram’s green bars are shortening on a 15-minute interval, while excluding…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This stock-selection rule screens the metaverse theme for shares meeting two price-trend conditions: the previous day’s price must be above the 250-day moving average, and the weekly close must cross above its 30-week moving average. The first condition…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This A-share screen combines a daily high-low range of at least one, return on equity above 15% in each of five consecutive years, and a proxy for recent large-investor control or buying pressure. The article presents the range condition as a way to identify…

AksjerKinesiske markederFaktorinvesteringMomentum
SuperMind

This A-share stock screen combines a turnover range of 3% to 12%, a positive 10-day gain below 35%, and a pattern of progressively higher lows. The accompanying explanation interprets repeated tests at increasingly elevated price bottoms as evidence of…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese equity screening note combines three conditions: daily amplitude above 1%, a maximum intraday decline between 4% and 5%, and the stock’s average price above its five-day moving average. It presents the range and decline as measures of market…

AksjerKinesiske markederTekniske indikatorerVolatilitet
SuperMind

This note presents a Chinese equity screen for metaverse-related stocks. It selects companies whose 9:25 price gain is below 6% and whose circulating market capitalization exceeds 10 billion yuan. The accompanying explanation treats the opening move limit as…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

This note describes a Chinese equity screen for metaverse-themed stocks. Its stated criteria are a volume ratio above 1.5 and below 6, positive net buying by major participants during the opening auction, and— in the final version—a price-to-earnings ratio…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

This note presents a Chinese equity screening rule that combines turnover between 3% and 12%, a newly formed KDJ golden cross, and a weekly price move above the 30-week moving average. It frames turnover as a liquidity filter, the KDJ signal as evidence of…

AksjerTekniske indikatorerMomentumTrendfølgende handel
SuperMind

This note describes a Chinese stock selection rule combining daily price range, afternoon large-order net inflows, and relative trading volume. It specifies an amplitude above 1%, with volume ratio between 1.5 and 6, and treats qualifying shares as…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The document presents a Chinese equity screening idea combining daily price amplitude above a threshold, a positive weekly MACD histogram, and recent limit-up behavior. It frames these conditions as a way to find active stocks with short-term upward…

AksjerMomentumTekniske indikatorerRisikostyring
SuperMind

This post describes a Chinese A-share selection rule that combines a minimum price-amplitude filter, a ceiling on freely tradable shares, and a weekly five-period moving average crossing above a ten-period moving average. The stated rationale is to find…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese-language post presents a simple A-share stock screen combining membership in the metaverse theme, circulating market capitalization above a stated threshold, and a recent closing price exactly equal to a specified value. It sketches…

AksjerKinesiske markederFaktorinvestering
SuperMind

This Chinese-language post describes a stock screen combining turnover, a rising DEA condition, and price location within Bollinger Bands. It selects shares with turnover between 3% and 12%, a bullish MACD-style DEA condition, and a close above the band…

AksjerTekniske indikatorerMomentum
SuperMind

This stock-selection rule combines three signals: daily price amplitude above 1, MACD above its zero line, and at least one limit-up event in the previous 25 days. The article interprets amplitude as a sign of substantial movement, positive MACD as a…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This A-share selection rule looks for turnover between 3% and 12%, an opening price within 5% of the 10-day moving average of closing prices, and a positive return on the latest trading day. The article interprets these filters as selecting stocks with…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This A-share stock screen combines a 14-period RSI below 65 with parent-company net profit growth above 20% and no more than 100%, plus at least two limit-up days within the prior 500 days. It also describes excluding suspended and special-treatment shares…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

The article describes a Chinese equity screening rule using three filters: turnover rate between 3% and 12%, a positive 10-day gain below 35%, and free-float market value above 10 billion yuan. It presents the screen as a way to find relatively liquid,…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This proposed equity screen selects stocks associated with the metaverse theme, a rising 30-day moving average, and at least one limit-up event during the prior 25 days. The document provides an indicator formula reference and a Python sketch for these…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This stock-screening proposal targets companies classified in the metaverse industry when the KDJ indicator has just formed a bullish crossover and the shares have recorded at least two limit-up sessions within the prior 500 days. It specifies selecting…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This China A-share selection concept combines a moving-average trend filter, a size threshold, and a ranking by capital strength. It favors stocks whose 20-day moving average is above the 120-day average, treats size above 200 million as an eligibility…

AksjerKinesiske markederTrendfølgende handelMomentum
SuperMind

This article describes a short-term China A-share screen based on three stated conditions: amplitude above 1%, evidence of main-force control on the prior day, and ranking among the top five by the current day’s auction amount. The intended idea is to find…

AksjerKinesiske markederVolatilitetMomentum
SuperMind

This document presents a simple China A-share selection rule: retain stocks with prior-day amplitude above 1%, circulating shares no greater than 5.5 billion, and exclude Beijing-listed shares. Its stated rationale is to focus on more volatile stocks with…

AksjerKinesiske markederVolatilitetTekniske indikatorer