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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 stock-selection post describes a screen for companies classified in the metaverse industry. Its stated criteria include a volume ratio above 1.5 and below 6, at least one daily gain of 10% or more during the prior 25 trading days, and, in the final…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

This note presents a simple stock screen for companies in the metaverse theme with circulating market capitalization above 10 billion yuan. It selects stocks whose opening price is within roughly five percent of the ten-day moving average of opening prices.…

AksjerKinesiske markederTekniske indikatorerHistorisk testing
SuperMind

This note describes an A-share stock screen combining daily amplitude above 1%, a robot-industry theme, circulating market capitalization below 10 billion yuan, and positive recent net profit. It also refers to ordering candidates by popularity. The…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

This Chinese equity screen combines a daily amplitude threshold, at least two limit-up events over a 500-day lookback, and a three-session limit-up streak ending the prior day. It aims to find shares with substantial price movement and repeated strong upward…

AksjerMomentumKursbruddTekniske indikatorer
SuperMind

This stock selection idea ranks shares by volume ratio and retains the top 100, then filters for stocks listed for more than 30 days whose 30-day moving average is rising. The intended rationale is to combine unusually high recent trading activity with a…

AksjerMomentumTekniske indikatorerStatistikk
SuperMind

The screen selects Chinese stocks when the daily high-low range exceeds 1% of the low, the KDJ J line has just crossed above its D line, and the 20-day moving average is above the 120-day average. The author interprets the range condition as a sign of…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This stock-selection idea screens Chinese A-shares by requiring a daily high-low range above a threshold, excluding stocks that hit the upper price limit on the previous day, and omitting Beijing-listed shares. The stated rationale is that a larger range may…

AksjerKinesiske markederTekniske indikatorerRisikostyring
SuperMind

This document outlines a Chinese equity screening rule combining three conditions: a 14-period RSI below 65, membership in the beverage and alcohol import-export industry, and a prior session that did not close at the daily limit-up threshold. The…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The document describes a trend-following indicator package intended to support swing trading. It claims to provide entry opportunities, warn when a trade following an initial signal carries risk, and help identify when a trend may be nearing its end. A…

Trendfølgende handelTekniske indikatorerRisikostyringKursbrudd
SuperMind

The post presents a stock selection rule combining RSI below 65, displayed best-bid volume greater than best-ask volume, and exclusion of stocks that hit the prior day’s upper price limit. Its example code adds a positive daily price-change condition, so the…

AksjerTekniske indikatorerMomentumMarkedsmikrostruktur
SuperMind

This Chinese stock-selection post combines a daily amplitude threshold with a ratio involving the previous day’s turnover and the current opening-auction volume relative to the prior day’s volume. It also describes selecting stocks when three moving…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The document presents a Chinese stock-selection screen that filters for price amplitude above one percent, excludes Beijing-listed A shares, and keeps stocks with turnover between three and twelve percent. It frames amplitude and turnover as rough measures…

AksjerKinesiske markederTekniske indikatorer
SuperMind

This article describes an A-share stock screen focused on Shenzhen main-board companies in the metaverse sector. It combines price-to-earnings and price-to-book ranges with a volume ratio above 1.5 and below 6, then adds a relative-strength ranking cutoff in…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese equity screening proposal targets stocks in the metaverse theme with a positive return, excludes special-treatment shares, and adds a “five-step limit-up” pattern intended to identify candidates with potential momentum. The document describes…

AksjerKinesiske markederMomentumKursbrudd
SuperMind

This example studies how order latency affects a grid-based market-making strategy for ETH perpetual futures. The strategy estimates trading intensity from the distance between the midpoint and observed trade arrivals, fits a decay relationship to that…

KryptoEvigvarende futuresMarket makingRutenettshandel
SuperMind

This note describes a Chinese equity screen combining a relative strength index below 65 with revenue in 2021 more than 1.1 times revenue in 2018. It further limits the universe to companies valued below 10 billion yuan and excludes loss-making firms. The…

AksjerTekniske indikatorerFaktorinvesteringKinesiske markeder
SuperMind

This proposed equity screen focuses on stocks classified in the metaverse industry. It selects names where KDJ has just formed a bullish crossover, ranks the qualifying stocks by capital inflow from highest to lowest, and takes the top 20. The post describes…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This proposed China A-share screen selects stocks whose MACD value is above zero, then sorts candidates by individual-stock popularity and applies a price ceiling of less than 12. It is intended to run after each daily close. The document explains MACD as a…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This post proposes a stock-selection screen combining daily price range, moving-average direction, a market-capitalization ceiling, and a profitability condition. In broad terms, it seeks stocks with noticeable daily movement, an upward-sloping short-term…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese-language post outlines a stock screen for companies classified in the metaverse industry. It combines a maximum share-float threshold with a minimum market-value threshold, aiming to find larger companies whose tradable share supply remains…

AksjerKinesiske markederFaktorinvestering
SuperMind

The document presents a Chinese equity screening rule combining a 3% to 12% turnover-rate range, a reversal or engulfing-style price pattern, positive daily return, and a volume ratio between 1.5 and 6. It further limits the universe to listed Shenzhen…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This A-share screening idea combines three conditions: daily price amplitude above 1%, an opening price near the 10-day moving average, and tradable share float no greater than 5.5 billion shares. The document interprets the range condition as selecting…

AksjerKinesiske markederTekniske indikatorerVolatilitet
SuperMind

This screen selects Shanghai-listed A-share stocks whose codes begin with 60, whose turnover is between 3% and 12%, and which are described as having reached a three-day consecutive limit-up sequence the prior day. Its stated rationale is short-term…

AksjerKinesiske markederMomentumKursbrudd