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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
WonderTrader
14 dokumenter
Alphalens
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

A VeighNa forum user asks how to keep a displayed value C synchronized with inputs A and B. C is initially calculated as the difference between A and B, but editing either input leaves C at its previous value. The user also wants C to remain editable like…

Aksjer
BigQuant

This Chinese equities strategy looks for stocks with a bullish moving-average stack: the five-day average exceeds the ten-day, then the twenty-day, forty-day, and one-hundred-twenty-day averages. It adds a pullback condition: the day’s low must fall below…

Kinesiske markederAksjerTrendfølgende handelTekniske indikatorer
MQL5 code base

This expert advisor uses an unconventional MACD approach: it calculates the area of the indicator above and below its zero line over a user-selected number of bars. A reverse-signal option determines whether the resulting signal opens a buy or sell position.…

Tekniske indikatorerMomentumPosisjonsstørrelseRisikostyring
MQL5 code base

This document describes a trading expert advisor that uses the iVIDyA indicator to generate signals. It checks for a signal only when a new bar begins, then opens a position with specified stop-loss and take-profit levels. It does not use a trailing stop and…

Tekniske indikatorerRisikostyring
OctoBot

This release note describes changes in OctoBot 1.0.2. ChatGPT strategy profiles can now be backtested for some settings using prompts precomputed from historical exchange-pair data downloaded by the service. The ChatGPT profile also shifts from daily trading…

KryptoHistorisk testingOrdreutførelseMaskinlæring
MQL5 code base

The document explains the USDX as a measure of the U.S. dollar against a six-currency basket: the euro, yen, pound sterling, Canadian dollar, Swedish krona, and Swiss franc. It describes the index as a weighted geometric calculation and gives the basket…

ValutahandelFlere aktivaklasserStatistikk
SuperMind

This stock-selection method screens for companies listed in 2021, with turnover between 3% and 12%, and a price shape described as rounded over the previous 20 days. The article frames turnover and listing year as basic filters, then adds a recent…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This stock screen combines three conditions: a 14-period RSI below 65, first-level bid volume greater than ask volume, and a dividend ratio above 25% based on 2019 data. The article presents these filters as a way to combine a technical indicator, order-book…

AksjerTekniske indikatorerMarkedssentimentRisikostyring
SuperMind

This post describes a Chinese-equity screening rule that combines membership in the metaverse theme with positive net buying attributed to major participants during the opening auction. It further limits candidates to Shenzhen main-board stocks using…

AksjerKinesiske markederMomentumFaktorinvestering
FMZ forum

The document explains Value at Risk (VaR) as a loss threshold for a portfolio over a specified period at a chosen confidence level. It outlines common uses, including setting risk limits for individual strategies and portfolios, comparing risk across…

RisikostyringStatistikkPorteføljekonstruksjon
SuperMind

This article outlines a Chinese stock selection screen using daily price range, market capitalization, profitability, and MACD. The initial rules look for stocks whose high-to-low range exceeds 1%, whose market value is below 10 billion yuan, whose net…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

This Chinese-language article describes a mainland China stock screen combining technical and fundamental filters. It selects main-board shares with RSI below 65, a daily gain above 1%, market capitalization below 10 billion yuan, and positive net profit.…

AksjerKinesiske markederTekniske indikatorerMomentum
Amberdata research

This podcast recap discusses institutional participation in crypto, the launch of U.S. spot Bitcoin ETFs, the more modest reception of Ethereum ETFs, and regulatory barriers to further products. It describes how financial advisers and smaller offices can…

KryptoSpotmarkederAmerikanske markederDeFi
MQL5 code base

The Prevailing Trend oscillator represents bullish and bearish market components with separate lines labeled Up and Down. It estimates the Up line as a moving average of bullish candlesticks over a selected period, and the Down line as a moving average of…

Tekniske indikatorerTrendfølgende handel
SuperMind

This Chinese equity screening proposal combines trading activity with a past-event filter. It ranks stocks by volume ratio and selects the top 100, treating a higher ratio as a sign of stronger investor attention or fund activity. It also requires stocks to…

AksjerKinesiske markederMomentumTekniske indikatorer
pysystemtrade

This code describes a volatility-sensitive adjustment to trading forecasts. It calculates daily percentage volatility, compares it with a rolling ten-year average, and converts the normalized volatility observations into quantile ranks. A multiplier…

VolatilitetTekniske indikatorerRisikostyringPosisjonsstørrelse
ProRealCode

This swing strategy looks for alignment among three stochastic measures with short, medium, and longer lookbacks. It enters long when the measures are ordered upward and their relative spread exceeds a threshold, provided either shorter-cycle momentum is…

Tekniske indikatorerMomentumTrendfølgende handelFutures
SuperMind

This stock selection rule combines four daily conditions: price range relative to the close, at least two limit-up moves within a rolling 500-day window, current volume above 10,000 lots, and an opening price above the prior close. The document describes…

Kinesiske markederAksjerTekniske indikatorerMomentum
MQL5 code base

The document explains an extended Moving Slope Rate of Change indicator. The basic MSROC estimates price slope from a least-squares line rather than using the direct price change of conventional rate of change. The text says this smoothing reduces false…

Tekniske indikatorerTrendfølgende handelStatistikk
SuperMind

This post describes a stock screen combining daily price amplitude above 1, positive institutional money flow, and a 10-day return greater than zero but below 35%. Its example indicator logic aggregates positive net institutional flow across five periods,…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This post outlines a Chinese A-share screening rule using three conditions: current trading volume above 10,000 lots, an opening price above the prior close, and a positive 10-day return below 35%. It presents the volume condition as a proxy for stronger…

AksjerKinesiske markederMomentumTekniske indikatorer
vn.py community

This forum post reports a VeighNa CTA backtest that reaches the historical-data loading stage but loads zero records. The script then completes initialization and replay with no trades, before result calculation fails because the daily results table lacks a…

FuturesHistorisk testing
MQL5 code base

The document describes an indicator intended to estimate a slower-changing reference value for the market than the observed price or a moving average. Its direction is linked to the relationship between price and the indicator: it rises when price is above…

Tekniske indikatorerStatistikk
Amberdata research

Gamma exposure (GEX) describes how an option’s delta changes as the underlying asset moves. The document explains why this matters in crypto options: as delta shifts, market makers may adjust their hedges, creating flows that can affect volatility and…

KryptoOpsjonerPrising av derivaterRisikostyring