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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.

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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
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Bitget Academy
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MQL5 articles
3,012 dokumenter
TradingView scripts
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ProRealCode
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
1,033 dokumenter
Amberdata research
766 dokumenter
FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
vn.py community
560 dokumenter
QuantInsti blog
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Galaxy Research
340 dokumenter
QuantStart
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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
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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
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FinRL
28 dokumenter
Zipline
22 dokumenter
FMZ live strategies
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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 document outlines a stock screen for companies in the metaverse sector, requiring the opening price relative to the prior close to be below a stated gap threshold and looking for a rising-bottom pattern. It describes the latter as a potentially…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This document describes a short-term stock screen combining price amplitude above a threshold, a morning star candlestick pattern, and a weekly five-period moving average crossing above a ten-period average. It explains amplitude as a measure of price…

AksjerTekniske indikatorerMomentumRisikostyring
SuperMind

This strategy description combines a Perfect Trend Line signal for entries and exits with a Trend Impulse indicator for direction. It is presented for five-minute Dow Jones trading. A long position is opened when the trend line changes to bullish while the…

FuturesTrendfølgende handelTekniske indikatorerOrdreutførelse
SuperMind

This stock screen focuses on companies classified in the metaverse concept group. It selects stocks whose average price is above the five-day moving average and whose five-, ten-, twenty-, thirty-, and sixty-day moving averages coincide. The document…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

This post proposes screening Chinese stocks for a daily high-low range above one percent during 2021, combined with prior-day auction turnover greater than 0.26. Qualifying stocks enter a candidate pool; the provided Python example then sorts them by closing…

Kinesiske markederAksjerVolatilitetTekniske indikatorer
SuperMind

This overview compares four crypto trading styles by holding period, activity, and typical analytical focus. Scalping seeks frequent small moves within a day and demands close monitoring; day trading holds positions for hours but generally closes them before…

KryptoTekniske indikatorerRisikostyringPosisjonsstørrelse
SuperMind

This stock-screening post describes ranking candidates by capital strength, using measures such as net inflows and turnover, while requiring the 20-day moving average to exceed the 120-day average. It also discusses a share-price ceiling, stated in the body…

AksjerKinesiske markederTekniske indikatorerTrendfølgende handel
SuperMind

Firebird v0.60 is described as an expert advisor that trades using a moving average and a configurable percentage distance between the price and the average. Before opening a position, it checks the time since the previous position was opened and skips a new…

Tekniske indikatorerOrdreutførelsePosisjonsstørrelseRisikostyring
SuperMind

This document outlines an A-share stock screen using daily amplitude above 1, a 9:25 price gain below 6%, and turnover between 3% and 12%. Its final version also requires sustained net inflows, combining a volatility filter, an opening-price condition,…

AksjerKinesiske markederTekniske indikatorerOrdreutførelse
SuperMind

The document outlines a Chinese stock screen restricted to the metaverse theme. It selects shares whose 9:25 gain is below 6% and whose stock price or average price is above its five-day moving average. The post interprets the sector filter as an industry…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The document describes a Chinese equity screening rule that combines daily amplitude above 1, current volume above 10,000 lots, an opening price above the prior close, and an upward-sloping 30-day moving average. It presents the conditions as a way to find…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This document outlines a Chinese equity screening rule that combines daily price amplitude, a minimum circulating market capitalization, and ranking by large-order net volume. Its stated rationale is to focus on stocks with meaningful price movement,…

AksjerKinesiske markederTekniske indikatorerMarkedssentiment
SuperMind

This document describes a stock screen using a daily high-low range of at least 1%, relative volume between 1.5 and 6 times a five-day average, a share price below 12, and a price-to-book ratio below 3. The stated intent is to find shares with noticeable…

AksjerTekniske indikatorerVolatilitetHistorisk testing
SuperMind

This document outlines a stock screen combining a daily price range above 1%, a closing price below 20, and afternoon large-order net inflows. It presents these as filters for volatility, lower-priced shares, and recent buying interest. The proposed…

AksjerTekniske indikatorerVolatilitet
SuperMind

This post presents a stock-selection idea combining three filters: RSI below 65, a favorable company-type classification, and more than two limit-up sessions within a ten-day window. The author frames repeated limit-ups as a way to identify stocks attracting…

AksjerTekniske indikatorerMomentumMarkedssentiment
SuperMind

This post describes a Chinese stock screening rule that combines a daily high-low price range of at least one unit, return on equity above 15% in each of the past five years, and membership in the beverage and alcohol import-export industry. It outlines the…

AksjerFaktorinvesteringTekniske indikatorerKinesiske markeder
SuperMind

This post proposes screening stocks whose codes begin with 60, whose turnover rate falls within a stated range, and whose relationship between the prior day’s turnover and current auction volume relative to prior volume falls within a specified band. The…

AksjerKinesiske markederMarkedsmikrostrukturTekniske indikatorer
SuperMind

The post describes a screen for Chinese stocks associated with the metaverse theme, with circulating market value above a stated threshold and a cap on the gain early in the trading session. It provides formula and Python examples for identifying theme…

AksjerKinesiske markederTekniske indikatorer
SuperMind

This post proposes a stock-selection screen that combines MACD above its zero line, upward separation of short moving averages, and a signal described as the start of a major advance. It illustrates calculations for MACD, moving averages, and KDJ, then…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

This Chinese equity screening idea combines intraday range, a morning-star style candlestick condition, and positive afternoon net buying by large orders. The article frames the range as a volatility measure, the candle pattern as technical evidence, and…

Kinesiske markederAksjerTekniske indikatorerMarkedsmikrostruktur
SuperMind

The document describes a Chinese equity screen for stocks with turnover between 3% and 12%, listing year 2021, and recent institutional buying. It presents these filters as a way to combine trading activity and listing vintage with signals inferred from…

Kinesiske markederAksjerMarkedsmikrostruktur
SuperMind

The article proposes a Chinese equity screening rule using three conditions: a prior-day price range above a threshold, a positive reading for a “main force control” measure, and prior-day auction turnover above a stated cutoff. It presents the combination…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

This document describes a Chinese A-share stock screen using turnover between 3% and 12%, market capitalization below 10 billion yuan, positive net income, and a control ratio above 21%. It frames the control ratio as a measure for narrowing the pool after…

AksjerKinesiske markederFaktorinvestering
SuperMind

The document outlines a Chinese stock selection screen combining daily price amplitude above 1, RSI below 65, and a daily position-increase ratio above 5%. It interprets the amplitude and RSI filters as technical conditions and the increase ratio as a sign…

AksjerTekniske indikatorerMomentumStatistikk