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

SuperMind

This A-share screening idea combines three conditions: RSI below 65, a ratio of outside-market to inside-market volume above 1.3, and an opening price near the 10-day moving average. The accompanying example translates these filters into a…

AksjerKinesiske markederTekniske indikatorerMomentum
MQL5 code base

This short description presents a script for analyzing candlesticks over a selected period. It identifies the five candles with the greatest amplitude among bullish candles and the five greatest among bearish candles. The stated purpose is to help traders…

Tekniske indikatorerRisikostyringStatistikk
Zipline

This release note describes changes to Zipline, a Python framework for running algorithmic trading systems. It adds command-line and IPython notebook ways to execute algorithms, plus a history function that supplies rolling market data to a strategy. The…

Historisk testingRisikostyringPosisjonsstørrelseOrdreutførelse
MQL5 code base

This brief indicator description introduces KiS_max_min_Avg, an MQL4 tool that draws a channel with a colored background. Its center line changes color to reflect the active market trend, giving traders a visual way to inspect price movement within a…

Tekniske indikatorerTrendfølgende handel
SuperMind

This Chinese stock-screening post describes selecting shares priced below 12 yuan, with turnover between 3% and 12%, and a pattern it calls a reversal or “wraparound” candle. Its indicator conditions include a low price threshold and an RC value no greater…

AksjerTekniske indikatorerKinesiske markederHistorisk testing
MQL5 code base

METRO_Sign is described as a semaphore-style signal indicator built from the color-change algorithm of the ColorMETRO_Stochastic indicator cloud. Its stated signal basis is therefore a change in the cloud's color; the supplied text does not specify how those…

Tekniske indikatorerMomentum
MQL5 code base

This Expert Advisor combines a moving average with MACD. The moving average acts as a trend filter, while MACD provides trading signals. When a new signal calls for an opposite position, it also serves as the instruction to close the existing position.…

Tekniske indikatorerTrendfølgende handelMomentumPosisjonsstørrelse
MQL5 code base

This short description defines a geometric moving average calculated from the average of a bar’s open, high, low, and close prices over a selected period. The only configuration detail given is the period used in the calculation. It is therefore a basic…

Tekniske indikatorerStatistikk
SuperMind

The post proposes screening Chinese stocks for MACD above zero, upward separation of short moving averages, and a prior-day auction turnover condition. It presents the combination as a way to select for positive momentum while using trading activity as a…

Kinesiske markederAksjerMomentumTekniske indikatorer
MQL5 code base

This brief indicator description explains how to display the minimum price found over a selected number of bars on a chosen timeframe. Its inputs let the user choose the timeframe, search period, starting bar, and the drawn level’s name, comment, color, line…

Tekniske indikatorerFlere aktivaklasser
MQL5 code base

This MetaTrader 5 indicator visualizes confirmed swing points, breaks or shifts in market structure, and active bullish or bearish order blocks. Users can configure pivot sensitivity, the number and projection length of zones, colors, chart markers, and a…

Tekniske indikatorerMarkedsmikrostrukturRisikostyring
SuperMind

This stock-selection note describes a short-term screen for Chinese equities based on three conditions: turnover between 3% and 12%, a ratio of outside to inside trading volume above 1.3, and a closing price above the previous day’s low. The combination is…

Kinesiske markederAksjerTekniske indikatorerMarkedsmikrostruktur
BigQuant

This 2019 strategy review discusses how Chinese equity quant investors might respond to a weak market and changing asset-management conditions. It questions the near-term outlook for multi-factor approaches, noting that technical factors could remain under…

Kinesiske markederAksjerFaktorinvesteringKursbrudd
MQL5 code base

This short description introduces a moving-average indicator that separates its output into bullish and bearish components and displays them in a separate chart window. It is intended as a way to inspect directional information derived from a moving average,…

Tekniske indikatorer
BigQuant

This research note examines shifts between large-cap and small-cap leadership in Chinese equities, using the CSI 300 and ChiNext indices as proxies. It argues that rotation can reflect macroeconomic conditions, industry trends, and market sentiment, and that…

Kinesiske markederAksjerMaskinlæringStatistikk
MQL5 code base

This tutorial outlines a two-moving-average crossover expert advisor. It exposes configurable fast and slow periods, position size, minimum equity, slippage, and fixed take-profit and stop-loss distances. Initialization checks that the parameter values are…

Tekniske indikatorerValutahandelRisikostyringOrdreutførelse
BigQuant

This review summarizes research spanning equity market microstructure, institutional holdings, crypto momentum, dynamic-graph forecasting, and reinforcement learning for limit-order-book trading. In equities, one study groups trades by their timing relative…

AksjerKryptoMomentumMaskinlæring
Amberdata research

This research roundup describes several quantitative finance studies. One classifies equity trades by their short-term co-occurrence with other trades and standardizes associated order imbalances into conditional order imbalance measures. These measures…

AksjerKryptoMomentumMaskinlæring
BigQuant

The paper examines three possible asymmetries between monetary policy and real activity: differences between positive and negative shocks, large and small shocks, and negative shocks under low-variance conditions. It links these patterns to sticky wages and…

StatistikkAmerikanske markeder
BigQuant

This research summary studies iron ore returns using factors from the commodity supply chain as well as macroeconomic variables. It groups fundamental drivers around supply, demand, inventories, and costs, and reports findings from a vector autoregression…

RåvarerFuturesStatistikkHistorisk testing
SuperMind

The post proposes a Chinese equity screen combining daily price amplitude, afternoon large-order net inflow, and a record of high return on equity over five years. It frames the criteria as a mix of price activity, money flow, and company profitability, and…

Kinesiske markederAksjerFaktorinvesteringMarkedssentiment
vn.py community

This tutorial explains how to convert a discretionary futures idea into a specification a program can follow. Its five elements are signal timeframe, entry rules, exit rules, position size, and behavior in edge cases. It emphasizes separating directional…

FuturesTekniske indikatorerKursbruddPosisjonsstørrelse
BigQuant

The document shows a Chinese A-share strategy that ranks stocks using market capitalization, float capitalization, and closing price, then selects a small target list. It filters for smaller float capitalization, sufficient listing history, and nonnegative…

Kinesiske markederAksjerFaktorinvesteringOrdreutførelse
SuperMind

The article proposes a Chinese-equity screen that combines a price-range condition, a named morning-star signal, and a historical dividend payout ratio above a stated threshold for 2019. It frames the combination as a way to identify shares with short-term…

AksjerTekniske indikatorerFaktorinvestering