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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

OctoBot

The document explains automated trading bots as programs that use market or other data to analyze conditions and place trades under a configured strategy. It describes potential benefits such as faster, more frequent execution and less emotion-driven…

KryptoAksjerValutahandelRutenettshandel
SuperMind

The post proposes a Chinese equity screen using turnover between 3% and 12%, a positive return over ten days below 35%, and a dividend payout ratio above 25% for 2019. It says to select stocks before 10 a.m. and presents the dividend filter as a way to…

AksjerKinesiske markederFaktorinvesteringHistorisk testing
Amberdata research

The article outlines how Amberdata datasets can be accessed through Snowflake, Google Analytics Hub, and Databricks. It frames these integrations as a way for institutional researchers and traders to work with historical and fresh digital-asset data using…

KryptoOn-chain-dataDeFiMarkedsmikrostruktur
ProRealCode

This article describes a backtesting indicator for evaluating exit distances on a supplied trading signal. It simulates a single-unit position, closes equal portions at up to three take-profit levels, and exits the remaining position at the first stop level…

Historisk testingRisikostyringTekniske indikatorerOrdreutførelse
vn.py community

The forum exchange addresses whether a backtest for Shanghai Futures Exchange instruments needs to distinguish between closing a position opened the same day and closing one opened earlier. The question comes from a trader analyzing fill prices in a trade…

FuturesHistorisk testingOrdreutførelse
SuperMind

This Chinese-language post outlines a proposed screen for mainland Chinese exchange-listed stocks in the metaverse industry. It selects names among the five highest by the day’s auction trading value, then requires the weekly five-period moving average to…

AksjerKinesiske markederTekniske indikatorerMomentum
Amberdata research

This market report surveys Bitcoin’s first quarter of 2025, linking sharp price movements to macroeconomic developments, regulatory news, security events, and institutional activity. It discusses a peak near $109,000, subsequent pullbacks, a major exchange…

KryptoOn-chain-dataMarkedssentimentVolatilitet
Lumibot

This report presents a short backtest of a large-cap stock strategy attributed to a multi-agent AI trading bot and compares it with SPY. The stated test ran from January 4 to January 15, 2026, using Yahoo data and a universe of large technology and other…

AksjerHistorisk testingAmerikanske markederMaskinlæring
SuperMind

The document describes a daily stock screen based on three conditions: a high-to-low range greater than one percent, a reversal or engulfing-style pattern, and a close above the previous day’s low. It presents these conditions as a way to find stocks whose…

AksjerTekniske indikatorerTilbakevending mot gjennomsnittetHistorisk testing
Cryptohopper blog

The document introduces the information in a candlestick: the open and close define its body, while the high and low define its wicks. It classifies candles as bullish, bearish, or neutral by comparing closing and opening prices. These descriptions apply to…

KryptoTekniske indikatorerMomentum
SuperMind

The post describes a stock-selection screen based on turnover between three and twelve percent, appearance on a market trading list the previous day, and a negative MACD reading from two days earlier. The accompanying formula adds further filters involving…

AksjerTekniske indikatorerMomentumRisikostyring
MQL5 code base

The document explains the Detrended Price Oscillator (DPO) as the difference between a closing price and its simple moving average over a chosen period. By subtracting the moving average, the indicator filters out some of the broader price direction,…

Tekniske indikatorerStatistikk
SuperMind

This Chinese equity screening note combines three conditions: turnover between 3% and 12%, membership in a beverage and alcohol import-export category, and an auction-period price change greater than -2% and less than 5%. It frames the filters as a way to…

AksjerKinesiske markederTekniske indikatorer
BigQuant

This report excerpt reviews several Chinese equity strategies for the week ending around July 19, 2020. It says valuation and quality factors performed relatively well while momentum weakened. The CSI 300 and CSI 500 enhanced portfolios both declined for the…

AksjerKinesiske markederFaktorinvesteringMomentum
MQL5 code base

This brief indicator description explains Acceleration Bands, attributed to Price Headley, as bands derived from the daily price range. It identifies two configurable inputs: the calculation period and a factor that controls how widely the bands expand. The…

Tekniske indikatorerStatistikk
SuperMind

This note describes a Chinese equity screen requiring turnover between 3% and 12%, a stock code beginning with 60, and a nonempty name for an unredeemed convertible bond. The stated rationale is to focus on stocks with a specified level of trading activity…

AksjerKinesiske markeder
MQL5 code base

This document describes a function for producing directional signals from the OsMA indicator: one return value represents a buy and another represents a sell. It says the function can be included in an expert advisor and called to check the current signal.…

ValutahandelTekniske indikatorerHistorisk testingRisikostyring
MQL5 code base

This indicator presents the standard stochastic oscillator's %K and %D lines together with a histogram showing their relationship. Histogram colors distinguish whether %K is above or below %D and whether it lies above or below the configured overbought and…

Tekniske indikatorerMomentum
SuperMind

This post outlines a Chinese A-share screen combining membership in a metaverse-related category with a turnover-based condition, a technical signal, market-cap ranking, and a valuation filter using PEG. It also sketches a Python workflow that retrieves…

Kinesiske markederAksjerTekniske indikatorerFaktorinvestering
MQL5 code base

ColorMFI_X20_Cloud is a chart indicator that adds adjustable background shading to overbought and oversold regions. Its inputs define five reference levels around the middle of the indicator range, including upper and lower thresholds and more extreme…

Tekniske indikatorerTilbakevending mot gjennomsnittet
FMZ forum

This annotated strategy describes a directional grid that can operate buy-first or sell-first. In buy-first mode, it places a sequence of buy orders below an initial price at fixed intervals. When a buy fills, it places a sell order above that fill by a…

RutenettshandelOrdreutførelseRisikostyringPosisjonsstørrelse
Amberdata research

This market commentary connects Federal Reserve easing, Bitcoin price prospects, spot ETF adoption, and options volatility. It contrasts a possible short-term volatility surge with a longer-term decline as institutional ownership grows. For a bullish…

KryptoOpsjonerVolatilitetPrising av derivater
SuperMind

This stock-selection idea screens Chinese equities for four conditions: membership in the metaverse theme, positive net buying by large participants during the opening auction, a robotics concept association, and circulating market capitalization below 10…

AksjerKinesiske markederMarkedssentimentRisikostyring