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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

79,386 dokumenter

vn.py community

This short forum exchange addresses how to detect an invalid order price before submitting an order through VeighNa. The response says the framework does not generally filter prices in advance, although its graphical interface prevents users from entering…

OrdreutførelseFutures
Hummingbot docs

This recap describes Hummingbot Miner’s first year, during which token issuers used rewards to attract decentralized market makers. It reports campaign participation, reward payouts, filled trading volume, and activity across Binance and a new KuCoin launch.…

KryptoMarket makingMarkedsmikrostrukturOrdreutførelse
SuperMind

The proposed screen selects main-board stocks with circulating market value between 5 billion and 10 billion yuan, turnover between 3% and 12%, and a stated daily maximum decline between 4% and 5%. The article presents the filters as a way to find stocks…

Kinesiske markederAksjerTekniske indikatorerRisikostyring
MQL5 code base

This Expert Advisor trades when the ColorZeroLagTriX indicator cloud changes color. It forms a signal at bar close when the oscillator crosses its signal line, making the method dependent on a confirmed closing-bar crossover rather than an intrabar move. The…

ValutahandelTekniske indikatorerHistorisk testing
MQL5 code base

The indicator compares three moving averages whose configured periods must increase from the first average to the second and then the third. It colors the display green when all three averages are ordered from highest to lowest, and red when they are ordered…

Tekniske indikatorerTrendfølgende handel
SuperMind

This stock-selection post describes a screen using three short-term conditions: a positive ten-day return below 35%, daily amplitude above 1%, and a stated concentration measure below 20%. It frames these filters as a way to identify stocks with recent gains…

Kinesiske markederAksjerTekniske indikatorerRisikostyring
SuperMind

This community post proposes a Chinese stock screen within the metaverse industry. It filters for prior-session actual turnover between 3% and 28%, an opening-auction price move ranked among the strongest in the market, and combined net buying by very large…

Kinesiske markederAksjerMarkedsmikrostrukturOrdreutførelse
BigQuant

This weekly Chinese equity research note reviews long-short screens built from high-frequency and technical factors. The listed signals include return skewness, downside volatility share, opening-period buying interest and large-order flows, reversal,…

Kinesiske markederAksjerHøyfrekvenshandelFaktorinvestering
MQL5 code base

The Aroon Up and Down indicator tracks how recently a chart has made local highs and lows, using a configurable lookback period. Its lines can be used to identify when prices rise from a recent low or decline from a recent high, with line crossings presented…

ValutahandelTekniske indikatorer
BigQuant

This article reviews global equity factor performance in the third quarter of 2021 and compares defensive factor positioning. It reports that momentum and low residual volatility led the pure factor results, while liquidity lagged. Regional index outcomes…

AksjerFaktorinvesteringMomentumVolatilitet
SuperMind

This article reviews global equity factor performance in the third quarter of 2021 and compares defensive factor positioning. It reports that momentum and low residual volatility led the pure factor results, while liquidity lagged. Regional index outcomes…

AksjerFaktorinvesteringMomentumVolatilitet
SuperMind

This Chinese-language article describes an equity screen for Shenzhen main-board stocks associated with the metaverse theme. It selects stocks with a positive return, positive price-to-earnings and price-to-book ratios, and upper bounds on both valuation…

AksjerKinesiske markederFaktorinvestering
MQL5 code base

This chart indicator adapts the stochastic volatility concept to highlight periods when volatility is unusually low. It marks candidate bars with red lines in a separate indicator window and red candles on the price chart. The author suggests these periods…

VolatilitetTekniske indikatorer
SuperMind

This document outlines a stock-selection screen that ranks securities by capital strength and requires weekly MACD to be above zero, alongside a year-based filter referring to 2021. It explains capital strength through trading volume and value, and describes…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This document presents a Chinese equity screen for Shenzhen Main Board stocks, combining turnover from 3% to 12%, circulating market capitalization from 5 billion to 10 billion, price-to-earnings ratio from 0 to 29.01, and price-to-book ratio from 0 to 3.11.…

Kinesiske markederAksjerFaktorinvesteringStatistikk
SuperMind

This document proposes screening stocks whose codes begin with 60, keeping those with turnover between 3% and 12%, then ranking them by a measure described as capital strength. The commentary presents the ranking as a way to identify actively financed market…

Kinesiske markederAksjerOrdreutførelse
SuperMind

This document describes a Chinese stock screen using amplitude above 1, a stated K-line value below 20, and prior-day actual turnover between 3% and 28%. It presents these conditions as a way to find stocks with notable price movement and moderate trading…

Kinesiske markederAksjerTekniske indikatorerMaskinlæring
ProRealCode

This indicator combines smoothed Heikin-Ashi candles with a stochastic oscillator and a moving-average condition to mark possible entries and exits. The described logic treats rising Heikin-Ashi candles as bullish and falling candles as bearish, while candle…

Tekniske indikatorerMomentumOpsjonerTrendfølgende handel
SuperMind

The post proposes screening Chinese equities for elevated daily range, at least one daily gain of 10% or more during the past 25 trading days, and a pre-open price change below 6%. It then extends the screen with company and industry comparisons, including…

AksjerKinesiske markederMomentumVolatilitet
SuperMind

This proposed Chinese stock screen looks for shares associated with both the metaverse and robotics, with a newly formed bullish KDJ crossover and a circulating market capitalization below 10 billion yuan. It adds a time and trading-status restriction:…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese A-share screening idea combines three technical conditions: at least five moving averages are described as converging, the KDJ indicator has just formed a bullish crossover, and the 20-day moving average is above the 120-day average. The post…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This stock screen combines a metaverse-concept filter with a simple price condition: the current close must be above the previous session’s low. It also excludes Beijing-listed A shares. The document gives corresponding indicator logic and a Python example,…

AksjerKinesiske markederTekniske indikatorerPosisjonsstørrelse
SuperMind

This Chinese-language post proposes screening stocks using turnover, displayed best-level bid and ask volume, and large-order net inflow. Its final selection rule requires turnover between 3% and 15%, bid volume greater than ask volume, and large-order net…

AksjerMarkedsmikrostrukturTekniske indikatorerStatistikk
MQL5 code base

The Trend Risk indicator estimates a smoothed price and a smoothed high-low range, then uses a deviation multiplier to form upper and lower channel boundaries. A close above the upper boundary or below the lower boundary places the boundary value in a signal…

Tekniske indikatorerTrendfølgende handelKursbruddRisikostyring