Hopp til innhold

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

Amberdata research

This market commentary interprets crypto options conditions ahead of the U.S. election, focusing on Bitcoin and Ethereum realized volatility, implied volatility, skew, term structure, and relative performance. It describes realized volatility as stable while…

KryptoOpsjonerVolatilitetFutures
BigQuant

The article reviews research on the 2016 launch of Morningstar’s sustainability ratings for U.S. mutual funds. The ratings use portfolio holdings and company ESG scores to assign funds one to five stars within their categories; the star display appears more…

AksjerStatistikkMarkedssentimentHendelsesdrevet handel
BigQuant

This guide recommends choosing community trading strategies according to an investor's capital, return expectations, and tolerance for drawdown. It distinguishes a conservative profile, associated with diversified holdings, a smoother equity curve, a longer…

RisikostyringHistorisk testingPorteføljekonstruksjonPosisjonsstørrelse
MQL5 code base

The Deviation Oscillator is presented as a volatility-oriented indicator that measures the distance between an applied price and its moving average, then scales that distance using the minimum and maximum deviations observed over a selected range. The result…

Tekniske indikatorerVolatilitet
SuperMind

This post outlines a Chinese equity screen combining a daily range above 1%, dates in 2021, and a current low below the prior day's low. Its final stated selection also adds valuation filters: a price-to-earnings ratio below 30 and a price-to-book ratio…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

This note describes a simple technical screen for Chinese stocks: select observations from 2021 where the daily high-low range exceeds 1% and the current high equals the highest high over the current and prior day. The author frames a large range as a sign…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

The article outlines an A-share stock selection screen combining turnover, company size, profitability, and past price-limit events. It selects shares with turnover between 3% and 12%, market capitalization below 10 billion yuan, no reported loss, and at…

AksjerKinesiske markederMomentumFaktorinvestering
FMZ forum

The post presents a chart indicator that uses the highest high and lowest low over a configurable lookback, excluding the current bar, to plot proposed long and short stop-loss and take-profit levels. Its stop logic compares the distance from the current…

Tekniske indikatorerRisikostyring
MQL5 code base

The document describes a terminal script for exporting account history into a CSV trading journal. It selects deals from a user-chosen lookback period and groups them by position ID to reconstruct closed positions, including on netting and hedging accounts.…

OrdreutførelseRisikostyring
SuperMind

This post combines a stock universe selected through an intelligent query with a dual moving average rule. The proposed rule buys when the five-day average is above the twenty-day average and sells when it falls below, while the universe is screened for low…

AksjerTekniske indikatorerTrendfølgende handelKinesiske markeder
BigQuant

This indicator description explains a ZigZag variant that calculates turning points from the high and low values of Heikin Ashi candles. The Heikin Ashi period is configurable, and users can choose whether the Heikin Ashi candles themselves are displayed.…

Tekniske indikatorerVolatilitet
MQL5 code base

This research summary examines whether sell-side analysts’ earnings forecasts change as they issue more forecasts during a day. It frames decision fatigue as a shift from deliberate reasoning toward faster, more heuristic judgments. Using analyst forecast…

AksjerStatistikkMarkedssentimentHendelsesdrevet handel
SuperMind

This post describes a Chinese equity screen combining daily price amplitude, dividend yield, and a large-order net-flow ranking. It presents the factors as signals for volatility, company profitability, and market interest, then shows example implementations…

AksjerKinesiske markederFaktorinvesteringTekniske indikatorer
MQL5 code base

This document describes an expert advisor that trades around Bollinger Bands. Its stated rule is contrarian: a downward break below the lower band triggers a buy, while a break above the upper band triggers a sell. An update says entries are placed after a…

Tekniske indikatorerTilbakevending mot gjennomsnittetRisikostyringPosisjonsstørrelse
BigQuant

This article examines whether financial factors such as value, size, profitability, investment, and momentum can be timed using predictive signals. It groups candidate signals into financial conditions, economic conditions, investor sentiment, factor…

FaktorinvesteringAksjerMomentumMarkedssentiment
MQL5 code base

This expert advisor uses a Doji candle as a setup and waits for the next completed candle to confirm a directional break. When a new bar appears, it checks the two preceding bars: if the older candle qualifies as a Doji, a close of the newer candle above the…

ValutahandelTekniske indikatorerKursbruddPosisjonsstørrelse
SuperMind

The post proposes a stock screen that combines a recent increase in institutional buying, weekly MACD above its zero line, and a high historical dividend payout ratio. It interprets the buying measure as evidence of institutional interest, weekly MACD as a…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This overview surveys recurring problems in quantitative trading, including unreliable or incomplete data, model risk, slippage and fees, parameter selection, real-time monitoring, and processing speed. It also discusses choosing machine-learning methods and…

RisikostyringHistorisk testingOrdreutførelseMaskinlæring
SuperMind

This document describes a daily Chinese equity screen combining three conditions: turnover between 3% and 12%, the product of price change and net large-order volume above zero, and MACD above zero. It presents the rule as a way to select stocks with…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This A-share stock screen combines a 14-period RSI below 65 with a positive prior-day main-fund net inflow. The stated rationale is that a relatively lower RSI may indicate rebound potential, while the fund-flow condition adds a capital-flow filter. The…

Kinesiske markederAksjerTekniske indikatorerMomentum
TqSdk

This documentation explains design choices behind TqSdk, a Python trading software development kit. It aims to avoid imposing a strategy model: users can fetch data and issue orders freely, while examples demonstrate possible applications instead of…

Historisk testingOrdreutførelseStatistikk
MQL5 code base

This trend-following expert advisor uses the slope of a simple moving average, expressed as an angle, to distinguish directional markets from flat conditions. It also measures price distance from the average as a percentage to avoid entries after a move has…

Trendfølgende handelTekniske indikatorerRisikostyringHistorisk testing
SuperMind

This Chinese equity screening idea combines three conditions: the 20-day moving average must exceed the 120-day moving average, the stock must have recorded at least two limit-up sessions in the prior 500 days, and its volume ratio must rank among the top…

AksjerKinesiske markederMomentumTekniske indikatorer
BigQuant

The report describes an asset allocation approach that measures cycle states and uses machine learning to estimate the probability that assets will outperform one another. It reviews macroeconomic timing frameworks, then describes cycle factors derived from…

Flere aktivaklasserMaskinlæringStatistikkPorteføljekonstruksjon