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
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

SuperMind

The article explains return on invested capital (ROIC), return on equity (ROE), and weighted average cost of capital (WACC) as tools for judging whether a company’s growth creates value. ROIC relates after-tax operating profit to invested capital, while ROE…

AksjerFaktorinvesteringRisikostyringStatistikk
SuperMind

The document presents an intraday stock-selection screen for Chinese equities. It selects stocks with an amplitude above 1, a product of prior-day turnover and the ratio of current auction volume to prior-day volume between 0.5 and 2, and a price rise below…

AksjerKinesiske markederTekniske indikatorerRisikostyring
MQL5 code base

The document describes a technical indicator built from three moving averages: a short-term average displaced forward by three periods, a medium-term average displaced by five, and a long-term average displaced by five. It identifies the periods as 3, 7, and…

Tekniske indikatorer
SuperMind

The post proposes a stock selection rule combining price amplitude above a stated threshold, progressively rising bottom levels, and a bullish weekly bar. It characterizes these as technical signals for price movement and buying interest, then suggests…

AksjerTekniske indikatorerMomentumRisikostyring
BigQuant

The post reports a BigQuant backtest failure in which the data extraction stage returned zero rows, and the backtest then raised an IndexError while constructing its rebalance schedule. The logs show the sequence from feature processing to an empty extracted…

Historisk testingAksjer
SuperMind

The post describes a way to prompt a language model to produce backtest code for the SuperMind platform: provide platform-specific function documentation, spell out the desired trading logic, and warn against known invalid patterns. Its example requests a…

AksjerTekniske indikatorerHistorisk testingOrdreutførelse
BigQuant

This brief BigQuant community post reflects on the challenge of improving a strategy’s Sharpe ratio while also controlling drawdowns. The author’s remarks suggest that judging a strategy by Sharpe alone can overlook the difficulty of managing losses. They…

StatistikkRisikostyringHistorisk testingAksjer
SuperMind

This short-term Chinese stock screen selects shares whose daily price amplitude exceeds 1, whose reported daily control measure has an absolute change above 21, and whose auction-period return lies between -2% and 5%. The post presents these filters as a…

Kinesiske markederAksjerTekniske indikatorerRisikostyring
SuperMind

This Chinese equity screening proposal combines a ranking by capital strength with an exclusion for Beijing-listed A-shares and a revenue-growth condition. Capital strength is described broadly using measures such as trading volume, turnover, or order-side…

Kinesiske markederAksjerFaktorinvestering
MQL5 code base

The Guppy Multiple Moving Average indicator groups two sets of moving averages to compare shorter-term price behavior with longer-term market direction. Its fast group uses six averages from 3 to 15 periods, while its slow group uses six averages from 30 to…

ValutahandelTekniske indikatorerTrendfølgende handel
SuperMind

This Chinese equities screen combines three price conditions: daily amplitude above 1, a 9:25 price gain below 6%, and a closing price above the previous day's low. The stated intent is to find stocks with some volatility and strength while avoiding an…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese stock screen looks for companies in the metaverse industry that also have a robotics concept, recorded a limit-up day during the prior 25 days, and have a free-float market value below 10 billion yuan. The rationale is to combine a recent strong…

AksjerKinesiske markederKursbruddMomentum
MQL5 code base

This expert advisor trades after a chosen number of consecutive candles share the same direction: it buys after a bullish run and sells after a bearish run. Version 6 adds configurable exits when the next candle goes against the position, an event the…

ValutahandelKursbruddTekniske indikatorerHistorisk testing
BigQuant

This Chinese research summary describes an equity index-enhancement approach using listed companies’ reported revenue by business line. It uses annual and interim report data, then applies Chinese-language keyword extraction and similarity analysis to…

AksjerKinesiske markederFaktorinvesteringPorteføljekonstruksjon
ProRealCode

This note describes a way to rescale the Stochastic Momentum Index (SMI) against its recent volatility. It first computes the SMI, then forms upper and lower bands around a 24-period exponential moving average using two standard deviations. The current SMI’s…

Tekniske indikatorerVolatilitetMomentum
vn.py community

This brief forum post advocates managing market data as files rather than relying solely on a database, particularly when handling large volumes of tick data. The author shares a personal approach using Parquet files and points readers to an implementation…

MarkedsmikrostrukturOrdreutførelse
SuperMind

This A-share stock screen combines three filters: reported net buying above 5% for the day, three consecutive declining sessions, and a 20-day moving average above the 120-day moving average. The article interprets net buying as possible institutional…

AksjerTekniske indikatorerTilbakevending mot gjennomsnittetKinesiske markeder
SuperMind

This stock-selection idea combines a daily turnover rate between 3% and 12%, a reversal pattern described as a price move that recovers after a decline, and a positive daily MACD reading. The article presents the combination as a way to find stocks showing…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This note describes a simple stock screen built around the 5-, 10-, 20-, 30-, and 60-day moving averages converging. It interprets convergence as a period of price balance that may precede a change in direction, and proposes using the signal to identify…

AksjerTekniske indikatorerTrendfølgende handel
SuperMind

The post proposes a Chinese equity screen combining a positive MACD reading, positive price change and net large-order flow, and a positive but capped ten-day gain. It gives formulas for MACD, daily price change, large-order net volume, and the ten-day…

Kinesiske markederAksjerMomentumTekniske indikatorer
FMZ guides

This guide surveys the languages and visual tools available for building trading strategies on FMZ, including JavaScript, TypeScript, Python, Rust, C++, My language, Pine, Blockly, and Workflow. It describes selected platform features: JavaScript…

Historisk testingOrdreutførelseTekniske indikatorer
MQL5 code base

This indicator description explains a way to compare the movements of seven major currencies against the US dollar. Each series is rebased to a common starting point, allowing changes over the selected period to be viewed on a shared relative scale. An…

ValutahandelTekniske indikatorer
vn.py community

The post asks why Alpha158 labels use different forward-return horizons in two implementations. It compares a label spanning the close at T+1 to the close at T+3 with a Qlib label spanning T+1 to T+2, then relates those choices to China’s T+1 stock-trading…

Kinesiske markederAksjerHistorisk testingMaskinlæring