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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

MQL5 code base

This document describes an Expert Advisor built around a moving average with a fixed period of 55. Users can adjust its timeframe, horizontal shift, smoothing method, and applied price. The EA checks for signals only when a new bar forms and during a…

Tekniske indikatorerTrendfølgende handelPosisjonsstørrelseHistorisk testing
SuperMind

This strategy uses a market regime filter built from momentum across 11 sector and style ETFs. It measures each ETF against a 25-day moving average and treats the broad market as showing momentum when at least six ETFs qualify. The portfolio buys small-cap…

AksjerKinesiske markederMomentumTrendfølgende handel
SuperMind

This short-term A-share screen focuses on stocks classified in the metaverse theme. It seeks names with an opening gain below 6% and a current high equal to the highest high across two days, combining a thematic universe with a near-term price strength…

AksjerKinesiske markederMomentumKursbrudd
SuperMind

This A-share stock screen combines a range expansion condition, a Bollinger Band location filter, and a historical dividend ratio threshold. It selects stocks whose daily high-low range exceeds its 20-day average, whose close lies between the middle and…

AksjerKinesiske markederTekniske indikatorerVolatilitet
SuperMind

The document describes a daily stock screen for Chinese main-board shares. It selects non-ST stocks with turnover between 3% and 12%, a daily gain above 1%, and more than one year since listing. The stated rationale is to combine active trading and positive…

AksjerKinesiske markederMomentumTekniske indikatorer
Qlib

This configuration defines a Qlib workflow for training a Temporal Fusion Transformer model on Alpha158 features for CSI 300 stocks. It sets Chinese market data from 2008 through mid-2020, using 2008–2014 for training, 2015–2016 for validation, and 2017–2020…

AksjerKinesiske markederMaskinlæringHistorisk testing
OctoBot

The article compares five open-source tools for automating cryptocurrency trading: OctoBot, FreqTrade, Hummingbot, Jesse, and Superalgos. It describes their stated strengths, including strategy options, exchange compatibility, testing support, customization,…

KryptoMarket makingRutenettshandelHistorisk testing
MQL5 code base

The document briefly describes a Color Schaff DeMarker Trend Cycle indicator. It characterizes the indicator as a Schaff Trend Cycle variant built from the difference between two DeMarker oscillators using different periods. This provides a high-level…

Tekniske indikatorerTrendfølgende handelMomentum
Qlib

This Qlib documentation describes visual reports for evaluating intraday portfolios and prediction models. Portfolio reports display benchmark and portfolio cumulative returns, returns with and without transaction costs, turnover, drawdowns, and cumulative…

Historisk testingPorteføljekonstruksjonRisikostyringMaskinlæring
vn.py community

This forum exchange addresses two practical VeighNa questions: removing subscribed market contracts and closing an open futures position. A reply says the framework does not support unsubscribing, suggesting a restart and re-adding only the desired contracts…

FuturesOrdreutførelseRisikostyring
ProRealCode

The Simple Decycler adapts John Ehlers’s high-pass filtering method to identify broad price trends while reducing short-wavelength fluctuations. It calculates a high-pass filter from the price series and subtracts that output from price, leaving a smoothed…

Tekniske indikatorerTrendfølgende handelStatistikk
SuperMind

This stock-selection rule combines a 14-period RSI below 65, positive daily return, and year-over-year growth in net profit attributable to parent shareholders above 20% and at most 100%. The article presents the combination as a way to find companies with…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This screen selects stocks in the metaverse sector that recorded a limit-up event within the previous 25 days and have year-over-year growth in net profit attributable to parent shareholders above 20% and no more than 100%. It also specifies selecting…

AksjerKinesiske markederMomentumHendelsesdrevet handel
MQL5 code base

This document describes an account dashboard for tracking five common proprietary trading challenge constraints: daily loss, maximum loss, profit target, minimum trading days, and the best-day consistency rule. It explains that loss limits can be configured…

RisikostyringPosisjonsstørrelseValutahandel
SuperMind

This stock screen combines metaverse-sector membership, a prior-day turnover threshold above 8%, and a rising-bottom chart pattern. The article presents rising bottoms as a way to identify prices recovering from a low and potentially continuing upward, with…

AksjerKinesiske markederTekniske indikatorerKursbrudd
SuperMind

The document outlines a Chinese equity screening rule that combines a metaverse sector filter, a closing price above the 250-day moving average, and a positive product of price change and a large-order net-volume measure. The stated interpretation is that…

Kinesiske markederAksjerTekniske indikatorerMomentum
ProRealCode

The document describes an RSI variant that places adjustable bands around the conventional center level. It calculates the RSI from closing prices, then sets an upper and lower band by adding or subtracting a multiple of the standard deviation of the RSI…

Tekniske indikatorerVolatilitetTilbakevending mot gjennomsnittet
MQL5 code base

This brief description presents a variation on the stochastic indicator. Instead of relying on the usual signal line, it uses normalized zones to help identify the prevailing trend and assess how much strength may remain in a trend change. The document…

Tekniske indikatorerMomentumTrendfølgende handel
SuperMind

This short-term stock screen combines three signals: a high-low range greater than one, a shortening negative MACD histogram on a 15-minute chart, and at least one limit-up move during the past month. The document interprets the range as a sign of…

AksjerKinesiske markederMomentumVolatilitet
SuperMind

This screening idea combines a daily high-low range threshold, consistently strong return on equity over five years, and a filter related to the previous day’s limit-up status. The stated rationale is to pair a measure of price movement with a longer-term…

AksjerKinesiske markederFaktorinvesteringTekniske indikatorer
SuperMind

This stock-selection proposal focuses on companies classified in the metaverse sector. It selects stocks that experienced a limit-up move within the prior 25 days and whose current close is above the previous day’s low. The post describes selecting…

AksjerKinesiske markederMomentumTekniske indikatorer
MQL5 code base

This document describes a MetaTrader 5 version of the Elliott Wave Oscillator that lets the user choose the indicator’s calculation timeframe through an input parameter. The example default is a four-hour period, allowing the indicator to be configured…

Tekniske indikatorerFlere aktivaklasser
SuperMind

This note proposes a Chinese equity screen for stocks with amplitude above 1, rising lows, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. It combines a price-pattern condition with a sector theme and a…

AksjerKinesiske markederTekniske indikatorerVolatilitet