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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

This weekly report reviews style-factor signals across several Chinese equity universes and summarizes recent quantitative fund performance and market conditions. It reports that price-and-volume factors, especially beta, were relatively strong in the week…

Kinesiske markederAksjerFaktorinvesteringMomentum
BigQuant

The discussion describes a proposed rolling evaluation in which training and testing periods are kept separate. Its example uses successive annual training windows and test windows offset into later years, with each test period’s results concatenated to form…

Historisk testingStatistikkMaskinlæring
SuperMind

The post proposes a Chinese stock-selection screen combining price movement, trading activity, and company size. Its stated rules require amplitude above 1, a product involving the previous day’s turnover rate and today’s auction volume relative to the prior…

Kinesiske markederAksjerTekniske indikatorerStatistikk
BigQuant

The question asks how to limit the capital assigned to any one stock to 20% of the portfolio. The response refers to a calculated weight for a stock and places an order targeting a percentage of portfolio value. This points to a useful portfolio-construction…

AksjerPosisjonsstørrelsePorteføljekonstruksjon
MQL5 code base

CandleStop_System is described as a chart indicator that colors candlesticks when they move beyond the limits of a CandleStop channel. The color also communicates the candle’s relationship to the prevailing trend: brighter fills mark candles aligned with the…

Tekniske indikatorerTrendfølgende handelKursbrudd
SuperMind

The post describes a strategy adapted from another approach and characterized by its author as a moving-average method that takes long positions. The author reports a four-year backtest with a total return of 120 times the starting value and a maximum…

Trendfølgende handelTekniske indikatorerHistorisk testing
BigQuant

This brief Chinese-language support note addresses why a filter applied directly in a DataSource may not work as expected. It recommends using a dedicated data-filter module, filtering the resulting dataframe with boolean conditions, or passing a query…

StatistikkAksjer
BigQuant

The article questions whether asset pricing and investment can be understood only by predicting returns from company characteristics. It uses the example of rose prices on Valentine’s Day: prices rise when demand is concentrated and sellers are scarce, then…

Flere aktivaklasserMarkedsmikrostrukturStatistikk
ProRealCode

The indicator identifies candidate liquidity zones from repeated wick tests that fail to close through a candle-body reference level. It maintains separate upside and downside references, counts contacts only when tests are sufficiently spaced, and confirms…

Tekniske indikatorerMarkedsmikrostrukturOrdreutførelse
ProRealCode

Momentum Pinball adapts the relative strength index to track changes in daily price movement rather than relying directly on the current close. It compares the change between consecutive daily closes with the prior change, separates upward and downward…

Tekniske indikatorerMomentum
BigQuant

The example builds a single-stock daily strategy from trend and momentum conditions. Entry requires the 21-period simple moving average to exceed the 60-period average, price to be above both averages, and daily and weekly MACD histograms to be positive. It…

AksjerTrendfølgende handelMomentumTekniske indikatorer
SuperMind

This Chinese stock-selection example combines three short-term conditions: daily amplitude above 1%, a high equal to the highest high across two days, and an asserted Dragon-Tiger List signal from the prior day. The accompanying discussion interprets the…

AksjerTekniske indikatorerMarkedssentimentMomentum
MQL5 code base

KLines is a technical indicator that plots support and resistance levels using the high and low extremes of periods across five timeframes. Its central idea is to use recent or timeframe-specific extremes as reference prices where the market may encounter…

Tekniske indikatorer
SuperMind

This proposed stock screen combines an amplitude threshold above 1, three moving-average crossover conditions, and a positive institutional-direction indicator. The explanation frames the moving averages as a trend filter and the institutional measure as a…

AksjerKinesiske markederTekniske indikatorerMomentum
MQL5 code base

The document describes a stochastic expansion oscillator as a variation on the conventional stochastic oscillator, with a distinct calculation and display. It identifies three inputs: the %K lookback period, a slowing period, and a noise filter period used…

Tekniske indikatorerStatistikk
SuperMind

This stock selection rule screens A-shares using four conditions: turnover between 3% and 12%, the product of daily percentage change and super-large-order net flow above zero, positive institutional activity, and volume expansion. A reference formula adds a…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
BigQuant

This article offers a checklist for choosing strategies from a trading community. It first asks investors to set their capital, acceptable drawdown, and return expectations, then distinguishes conservative from aggressive choices. The conservative profile…

AksjerRisikostyringHistorisk testingPorteføljekonstruksjon
FinRL

This document outlines a common set of measures for evaluating trading performance: cumulative and annualized returns, annualized volatility, the Sharpe ratio, and maximum drawdown. It gives mathematical definitions for the return, volatility, and Sharpe…

StatistikkRisikostyringPorteføljekonstruksjonHistorisk testing
SuperMind

This article describes a China A-share stock screen that combines turnover, company size, profitability, and a rising-lows price pattern. Its stated filters restrict turnover to a specified band, market capitalization to below a stated ceiling, and earnings…

Kinesiske markederAksjerTekniske indikatorerKursbrudd
BigQuant

This report studies whether stocks that suffer sustained, sharp declines later rebound, and how to identify such episodes. It uses rolling-window local extrema with a 15-period parameter to mark turning points, then applies pattern conditions to select 2,048…

Kinesiske markederAksjerTilbakevending mot gjennomsnittetHistorisk testing
SuperMind

This Chinese stock-screening idea combines three conditions: a positive MACD reading, a share price below 12 yuan, and a small price gain at the 9:25 pre-open observation. The post describes screening before the market opens and includes example indicator…

Kinesiske markederAksjerTekniske indikatorer
Amberdata research

This podcast overview introduces Panoptic, a decentralized protocol for minting, trading, and making markets in perpetual put and call options. The conversation is described as covering co-founder Guillaume Lambert’s path from physics into decentralized…

DeFiOpsjonerPrising av derivaterMarket making
SuperMind

The strategy screens Chinese mainland stocks using three conditions: RSI below 65, a circulating market capitalization between 5 and 10 billion yuan, and a shortening MACD histogram on 15-minute bars. The rationale is that RSI constrains the short-term…

Kinesiske markederAksjerTekniske indikatorer
NautilusTrader

This example configures a live trading framework to connect to Derive’s test environment and exercise its built-in execution tester on an ETH perpetual instrument. At startup, the strategy can open a position using an immediate-or-cancel order and maintain…

OrdreutførelseEvigvarende futuresMarkedsmikrostruktur