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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
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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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
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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
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QuantStart
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Stratmill research code
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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
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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
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quant-trading
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FinRL
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Zipline
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FMZ live strategies
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Jesse
17 dokumenter
pyfolio
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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 rule combines three conditions: daily price amplitude above a threshold, circulating shares at or below a stated limit, and a shortening negative MACD histogram on a 15-minute interval. The proposed interpretation is that a wide range…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This note describes a stock screen for companies in the metaverse theme with circulating market capitalization above a stated threshold, ranked by individual stock popularity. Its rationale is that ranking by attention may surface securities attracting…

Kinesiske markederAksjerMarkedssentiment
SuperMind

This documentation explains how Hummingbot’s history command summarizes trading activity, asset inventory, pair prices, fees, and performance. It defines average execution price as total quote volume divided by total base volume, then compares the current…

KryptoStatistikkRisikostyring
SuperMind

This document describes a Chinese stock screening rule combining turnover between 3% and 12%, three consecutive down sessions, and successively higher daily lows. It provides indicator and Python examples intended to identify shares that have pulled back…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

This post describes a Chinese equity screen combining a turnover-rate band, beverage and alcohol industry classification, and a reversal or engulfing-style price condition. It also presents illustrative formula and Python references. The accompanying code…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

This document describes a short-term Chinese A-share screen for stocks classified in the metaverse theme. It selects candidates using a price-change condition tied to the 9:25 opening period and a prior-session turnover range. The article also gives example…

AksjerKinesiske markederTekniske indikatorer
SuperMind

This Chinese stock screen combines a daily price range threshold, a fixed closing price, and a measure described as the proportion of trading attributed to dominant participants. The article explains that the range condition is intended to select more…

AksjerKinesiske markederTekniske indikatorerRisikostyring
SuperMind

This Chinese equity screen selects stocks associated with the robotics theme, with circulating market value below 10 billion yuan, turnover between 3% and 12%, and an appearance on the previous day's stock leaderboard. The article also gives formula-style…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This Chinese stock screen combines a metaverse industry classification with a relative-volume band and a sequence of declining closes. The stated selection conditions require volume ratio above 1.5 and below 6, alongside seven consecutive down days. The…

Kinesiske markederAksjerTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

This Chinese-language post describes a mainland Chinese stock screen combining turnover rate, the ratio of outside to inside trading volume, and the current day’s price gain, then restricting candidates to main board stocks. It frames turnover as a liquidity…

AksjerKinesiske markederMarkedssentimentTekniske indikatorer
SuperMind

The document describes a Chinese equity screen for stocks in the metaverse industry. It selects shares trading above their five-day moving average and with at least one limit-up event during the preceding 25 days. The moving-average condition is used as a…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This post describes a simple equity screen combining three conditions: a large daily trading range, moderate realized turnover on the prior day, and a current low below the previous session’s low. The proposed interpretation is that it identifies actively…

AksjerTekniske indikatorerVolatilitetKinesiske markeder
SuperMind

This note proposes screening Chinese stocks associated with the metaverse theme, with circulating market capitalization above 10 billion yuan, and aggregate large- and extra-large-order buying during the opening auction above 7 million yuan. Its rationale is…

AksjerKinesiske markederMarkedsmikrostrukturHendelsesdrevet handel
SuperMind

This note describes a Chinese equity screen requiring turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%, and exclusion of STAR Market stocks. The accompanying example…

AksjerKinesiske markederFaktorinvesteringStatistikk
SuperMind

This note outlines an A-share screening approach that ranks stocks by volume ratio, then selects those with net-volume readings above 0.05 for at least three consecutive days and a 9:25 a.m. price change below 6%. It presents the conditions as a way to…

AksjerKinesiske markederMarkedsmikrostrukturTekniske indikatorer
SuperMind

This document describes an equity screening rule that combines price range, large-order net volume, and the opening price change. It selects stocks whose amplitude exceeds 1, whose large-order net volume measure stays above 0.05 for at least three…

AksjerTekniske indikatorerHistorisk testingKinesiske markeder
SuperMind

This article outlines a Chinese stock screen requiring price amplitude above 1%, excluding Beijing-listed shares, and selecting stocks whose KDJ indicator has just formed a golden cross. It presents the combination as a way to focus on more volatile stocks…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This article describes a Chinese A-share screen combining turnover between 3% and 12%, at least one limit-up event in the prior 25 days, current volume above 10,000 lots, and a high-open condition. It argues that moderate turnover and recent limit-ups may…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This article proposes screening Chinese beverage and alcohol import-export stocks for turnover between 3% and 12%, while excluding stocks that reached the previous day's upper price limit. The stated rationale combines trading activity with an industry…

AksjerKinesiske markederOrdreutførelseTekniske indikatorer
SuperMind

This article presents a Chinese equity screen combining three conditions: at least five overlapping moving averages, more than two limit-up sessions within ten days, and a rising 30-day average. It interprets clustered averages as short- and medium-term…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

The document outlines a Chinese A-share screen that starts with stocks showing an amplitude above 1, excludes Beijing-listed shares, and ranks the remaining names by individual stock heat. It then proposes a more involved version using amplitude above 2%,…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

This document proposes a Chinese main-board stock screen combining price amplitude, institutional participation, and the balance of aggressive buying and selling. The final rule specifies an amplitude threshold over a 15-day window, institutional…

Kinesiske markederAksjerTekniske indikatorerMarkedsmikrostruktur
SuperMind

This document describes a Chinese equity screening rule that combines price movement, trend, momentum, and trading activity. Its final version selects stocks with amplitude above 1, MACD above zero, RSI(14) above 50, and prior-day auction turnover above…

Kinesiske markederAksjerTekniske indikatorerMomentum