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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

BigQuant

The document discusses how to estimate hedging costs for Chinese equity index futures. It argues that raw futures premiums or discounts need adjustment for time to expiry, convergence, and expected dividends. A dividend model and quadratic equation are…

FuturesKinesiske markederRisikostyringStatistikk
MQL5 code base

VolatilityMA is a moving average intended to help identify trade direction. It calculates an average of a chosen price series while adapting the averaging length to changes in normalized price variability. The description says the lookback resets to its…

Tekniske indikatorerVolatilitetStatistikk
SuperMind

This stock selection idea combines membership in the metaverse concept group with two technical conditions: the close is above the prior day’s low, and the KDJ indicator has just produced a bullish K-over-D cross while its J value is rising. The document…

AksjerTekniske indikatorerMomentumPosisjonsstørrelse
SuperMind

This A-share stock screen combines a technical condition, a fundamental filter, and a short-term activity measure. It selects stocks with RSI below 65, parent-company net profit growth above 20% and at most 100%, and a turnover-based measure between 0.5 and…

Kinesiske markederAksjerTekniske indikatorerMomentum
ProRealCode

This indicator converts closing prices into rolling standardized deviations from their recent averages, then smooths the results across three lookback horizons. The supplied periods are 180, 60, and 20 observations. Each series subtracts its lookback average…

Tekniske indikatorerStatistikkAksjer
vn.py community

A VeighNa Trader user reports that the platform cannot load its iFind data service module, even though the relevant Python packages are installed and can be imported. The community reply points to the global configuration: the provider name must be entered…

Futures
BigQuant

This brief troubleshooting exchange addresses a KeyError in a trading strategy. The suggested first step is to inspect the value represented by the variable `s`, since the exception may arise when that value is used to look up a position that is not present…

Ordreutførelse
ProRealCode

The indicator applies Cardwell’s RSI range concept to classify market regimes. It combines price relative to a 50-period simple moving average with RSI(14) membership in a bull band of 40–80 or a bear band of 20–60; otherwise the state is neutral. The…

Tekniske indikatorerTrendfølgende handelMomentumRisikostyring
ProRealCode

This indicator describes a pullback measure built around a short moving average of median price. It subtracts that average from the current median price, then scales the difference by average daily range to normalize the reading for recent price movement.…

Tekniske indikatorerTrendfølgende handelVolatilitet
MQL5 code base

The document explains how to measure Expert Advisor runtime in MetaTrader 5 while excluding delays that can distort the tester’s reported duration. It distinguishes total run time, which can include history synchronization and tick preprocessing, from net…

Historisk testingOrdreutførelseStatistikk
SuperMind

This stock-selection rule screens for Chinese equities with a 14-period RSI below 65, a circulating market value between 50 and 100 billion, and a current low below the previous day's low. The accompanying explanation presents RSI as a gauge of overbought or…

Kinesiske markederAksjerTekniske indikatorerStatistikk
SuperMind

This Chinese stock-selection proposal combines an intraday range filter, afternoon large-order net inflows, exclusion of special-treatment stocks, and selection before 10 a.m. It then describes a five-step buying rule: add once for each 1% price rise, up to…

Kinesiske markederAksjerMomentumVolatilitet
BigQuant

This overview explains how deep learning models can be assembled from input, intermediate, and output layers in a visual strategy-building platform. It surveys layer families including convolution, pooling, recurrent networks, embeddings, noise and dropout,…

MaskinlæringStatistikkHistorisk testing
MQL5 code base

This document describes a MetaTrader indicator that displays how much time remains before the current candle closes. Users can adjust its display color, size, and chart corner, and can optionally show server time. The third version adds an audible alert when…

Tekniske indikatorerOrdreutførelse
SuperMind

The document describes a short-term stock selection screen for companies classified in the Chinese metaverse theme. It combines three technical conditions—MACD signal-line crossover, a short moving-average crossover, and an additional MACD-related…

AksjerKinesiske markederTekniske indikatorerMomentum
MQL5 code base

This short description presents Ultra Trend as a standalone indicator for MetaTrader 5 that can operate across supported chart timeframes. It highlights three special timeframe choices: the second higher timeframe, the third higher timeframe, and an…

Tekniske indikatorerTrendfølgende handel
SuperMind

This proposed Chinese A-share screen starts with stocks in the metaverse theme, then selects for an opening gain below 6% and a circulating share count no greater than 5.5 billion. The article’s final version adds a price-to-earnings ratio below 60. It…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
Freqtrade docs

This guide explains how to turn a trading idea into a Freqtrade strategy, from generating a template to defining indicators, entry and exit signals, stop losses, and optional position adjustments. It describes how Freqtrade represents candle data in pandas…

Historisk testingTekniske indikatorerOrdreutførelseRisikostyring
SuperMind

This A-share stock screen combines three conditions: daily price amplitude above 1%, at least one limit-up event in the prior 25 days, and reported institutional buying within the past three months. The article frames the conditions as a mix of volatility,…

AksjerMomentumVolatilitetKinesiske markeder
SuperMind

This document describes a Chinese stock screen that ranks shares by volume ratio, retains those with a 20-day moving average above the 120-day average, and requires at least two limit-up sessions within the prior 500 days. The accompanying explanation treats…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This article explains how market orders and limit orders interact in an electronic market. Limit orders state a desired price and add available liquidity to the limit order book; market orders seek immediate execution against that liquidity and consume it.…

MarkedsmikrostrukturOrdreutførelseHøyfrekvenshandel
SuperMind

This document outlines a stock-selection screen using three characteristics: position increases above five percent, upward divergence among moving averages, and a dividend ratio above twenty-five percent in 2019. Its explanation associates position increases…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This document describes a Chinese A-share stock screen combining a daily price-range threshold, a newly formed KDJ crossover, and positive large-order net volume over three consecutive days. It presents the conditions as a way to find volatile stocks with…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese equity screen combines three short-term price conditions: amplitude above 1, a positive ten-day gain below 35, and more than two limit-up days within ten days. The document describes amplitude as a measure of price fluctuation, uses the gain…

AksjerKinesiske markederMomentumVolatilitet