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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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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
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FMZ forum
682 dokumenter
FMZ digest
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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
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Freqtrade
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Hudson & Thames
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Awesome Systematic Trading
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backtrader
54 dokumenter
vn.py
50 dokumenter
Binance API docs
45 dokumenter
Quantopian-forelesninger
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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
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pyfolio
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WonderTrader
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backtesting.py
11 dokumenter
Technical Analysis
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QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

12,226 dokumenter

SuperMind

This A-share screening rule combines three conditions: a MACD signal above or crossing the zero axis, a recent high that is the highest across a two-day window, and a pre-market gain below 6% as measured around 9:25. The document provides an indicator…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This Chinese A-share screening idea focuses on stocks classified in the metaverse industry. It selects names that had at least one limit-up event in the prior 25 days and whose 20-day moving average is above the 120-day average, using the longer average as a…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

The document proposes a Chinese stock screen that combines a reported daily buying-activity share above 5%, a weekly close crossing above its 30-week moving average, and a shortening MACD histogram on a 15-minute chart. The signals are intended to pair…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The document describes a Chinese equity screen combining daily price amplitude above 1%, a freely traded share count no greater than 5.5 billion, and weekly MACD above zero. It presents these filters as a way to find relatively volatile small-cap stocks with…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This screening approach targets main-board stocks associated with the robotics concept. It requires turnover between 3% and 12%, a circulating market value below 10 billion yuan, and a daily gain below 2.6% but above −5%. The article presents the combination…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This screening method selects Shenzhen main-board stocks that have been listed for more than a year, show daily amplitude above 1, and fall within specified valuation ranges: price-to-earnings above zero and below 29.01, and price-to-book above zero and…

Kinesiske markederAksjerTekniske indikatorerFaktorinvestering
SuperMind

This stock-selection method ranks shares by large-order net volume, then looks for positive readings above 0.05 across at least three consecutive days. It also requires the 20-day moving average to be above the 120-day moving average, combining a measure of…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This post describes a Chinese equity screen for stocks in a metaverse industry category. It requires the opening price to be less than 6% above the previous close and at least one session in the prior 25 days when the high exceeded the previous high by more…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

The document surveys leveraged exchange-traded funds, their construction, daily exposure management, costs, and market footprint. Such funds seek a multiple of an underlying index’s return over a short period, using derivatives such as futures or…

AksjerPrising av derivaterRisikostyringOrdreutførelse
SuperMind

The document describes a daily stock screen for companies classified in a metaverse-related sector. It selects stocks with a positive daily return, a price change below 2.6% and above -5%, and a price-to-earnings ratio below 30. It gives both a combined…

AksjerMomentum
SuperMind

This document describes a Chinese equity screen that combines three conditions: price amplitude above 1%, a circulating share count no greater than 5.5 billion, and year-over-year growth in parent-attributable net profit above 20% and no more than 100%. It…

AksjerKinesiske markederFaktorinvesteringVolatilitet
SuperMind

The document proposes an equity screen requiring turnover between 3% and 12%, a positive product of the day's price change and net large-order flow, and a rising DEA indicator. It frames the turnover band as a participation filter, the signed price-flow…

AksjerTekniske indikatorerMomentum
SuperMind

The document describes a stock screen combining daily amplitude above 1, a price below 20, and a positive change in the KDJ K value. It presents the KDJ increase as a way to identify upward price momentum, then recommends checking it alongside other…

AksjerTekniske indikatorerMomentum
SuperMind

This proposed A-share screen targets main-board stocks associated with robotics. Its stated criteria are turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan. A sample indicator expression also requires the closing…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This stock screen combines daily amplitude above one percent with a reversal or engulfing-style candle condition, then excludes stocks classified as belonging to the technology innovation segment. The article provides indicator formula examples and…

Kinesiske markederAksjerTekniske indikatorerKursbrudd
SuperMind

This Chinese stock selection method combines three signals: daily amplitude above one percent, large-order net inflow in the afternoon, and a rising short-term price floor. The article gives indicator formulas and a Python example intended to screen stocks…

Kinesiske markederAksjerTekniske indikatorerVolatilitet
SuperMind

The proposed equity screen looks for stocks with turnover between 3% and 12%, seven consecutive declining sessions, and a price pattern described as resembling a rounded base. The article presents formula examples for implementing the conditions and adds a…

AksjerTilbakevending mot gjennomsnittetTekniske indikatorerHistorisk testing
SuperMind

This Chinese equity selection note describes a three-part screen: daily high-low range above a stated threshold, a reversal pattern, and price above its five-day moving average. It frames the moving-average condition as a way to favor stocks in an upward…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This note proposes screening Chinese equities for three conditions: membership in the metaverse industry, a rounded price pattern, and a reversal or engulfing-style signal. It suggests the combination may identify active stocks in strong market themes with…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The article proposes screening stocks for turnover between 3% and 12%, membership in a beverage and alcohol import-export category, and a prior-day auction turnover measure above 0.26. It presents this as a way to find stocks with recent trading activity and…

AksjerTekniske indikatorerOrdreutførelseKinesiske markeder
SuperMind

This short-term stock selection rule looks for equities with a daily price range above 1, a rising and spreading set of moving averages, and positive net buying by large participants during the opening auction. The stated rationale is to find shares showing…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

This post presents a stock screen that combines a short-term trend condition with recent buying activity. It selects stocks whose 20-day moving average is above the 120-day average, whose prior session did not close at the daily price limit, and whose…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This post outlines a stock selection rule focused on companies associated with the metaverse theme. It requires the 30-day moving average to be rising and a nonempty name for an outstanding convertible bond. The accompanying explanation frames the…

AksjerKinesiske markederTekniske indikatorerTrendfølgende handel
SuperMind

This post proposes an A-share stock screen that combines trading activity, reported earnings growth, and short-term order flow. It selects stocks with turnover between 3% and 12%, parent-company net profit growth between 20% and 100%, and large-order net…

AksjerKinesiske markederMomentumMarkedssentiment