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
Quantpedia
86 dokumenter
TqSdk
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
Quantopian-forelesninger
45 dokumenter
Binance API docs
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

ProRealCode

This indicator labels price bars using comparisons between each bar’s high and low and those of the preceding bar. It distinguishes inside bars, outside bars, bars making both a higher high and higher low, and bars making both a lower high and lower low. The…

Tekniske indikatorerAksjer
SuperMind

The document describes a Chinese equity screening rule combining three conditions: daily amplitude above a threshold, evidence of main-fund control on the previous day, and a close above the previous day’s low. It frames the combination as a way to find…

AksjerTekniske indikatorerKinesiske markeder
BigQuant

This brief support note addresses a BigQuant workflow where a ranking strategy appears to backtest normally but produces no rebalance signals in simulated trading. It points to configuration and data-window checks: bind the code-list module’s end date to…

Historisk testingAksjer
SuperMind

This stock screen selects companies associated with the metaverse concept, then applies a price condition and a relative-volume band. It requires the close to exceed the previous session’s low and volume relative to its five-session average to be above 1.5…

AksjerKinesiske markederTekniske indikatorerRisikostyring
SuperMind

This Chinese equity screen combines three conditions: at least five moving averages are described as converging, the tradable share float is no more than 5.5 billion shares, and the ten-day return is positive but below 35%. The article frames this…

AksjerMomentumTekniske indikatorerKinesiske markeder
MQL5 code base

The document describes a small expert advisor that manages an already open position using a trailing stop distance supplied by the trader. If that requested distance is smaller than the platform’s allowed minimum stop distance, the advisor adjusts it to the…

OrdreutførelseRisikostyring
SuperMind

This stock screen combines turnover between 3% and 12% with seven consecutive sessions in which the closing price falls, then filters for a daily price change below 2.6% and above -5%. The article presents the rule as a way to find stocks after a sustained…

AksjerTilbakevending mot gjennomsnittetTekniske indikatorerKinesiske markeder
NautilusTrader

The guide explains how NautilusTrader connects to Bybit for live market data and order execution across spot, linear and inverse contracts, and options. It describes product-specific symbol suffixes, instrument loading, and the differences among mainnet,…

KryptoOrdreutførelseMarkedsmikrostrukturSpotmarkeder
SuperMind

This stock screen combines three daily price conditions: amplitude greater than 1%, an opening price within 5% of the 10-day moving average, and a current low below the previous day's low. The document includes formula and Python examples for calculating…

AksjerTekniske indikatorerVolatilitetKinesiske markeder
SuperMind

This equity screen targets stocks in the metaverse sector that recorded a limit-up move within the prior 25 days and whose opening price falls between 2% below and 5% above the reference close. The post describes selecting candidates before 10 a.m. for…

AksjerKinesiske markederMomentumKursbrudd
SuperMind

This stock screen combines a daily turnover rate between 3% and 12%, a positive change in the KDJ K value, and an indicator intended to identify institutional accumulation. The document provides formula and Python examples, with the Python version also…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The document explains the Crank–Nicolson implicit finite-difference scheme for solving the one-dimensional heat equation. It contrasts this approach with an explicit method that requires small time steps, describing Crank–Nicolson as averaging spatial…

Statistikk
BigQuant

The document introduces a moving-average arrangement scoring model, or MASS, that assesses market direction and trend strength from the relative ordering of multiple moving averages. It aims to combine the smoothness of longer averages with the quicker…

AksjerTrendfølgende handelMomentumTekniske indikatorer
SuperMind

The document proposes a stock screen combining three conditions: relatively large price amplitude, upward divergence in the day’s moving averages, and a limit-down price at the prior session’s 9:15 matching stage. The stated rationale is to find volatile…

Kinesiske markederAksjerTekniske indikatorerTilbakevending mot gjennomsnittet
MQL5 code base

This document describes a MetaTrader 5 class for rebuilding closed trades from their opening and closing deals in account history. The history is selected over a time range and organized by close time; callers can then enumerate reconstructed trades or…

Historisk testingStatistikkRisikostyringOrdreutførelse
MQL5 code base

This short reference describes a higher-timeframe variant of the LeManChanel indicator for MetaTrader 5. The indicator exposes a timeframe input, with a four-hour period shown as the default, so users can select the chart period from which the indicator…

Tekniske indikatorer
MQL5 code base

The document describes a chart indicator that automatically positions two standard deviation channels. It offers a visual channel-based view of price behavior, but does not explain the calculation method, how the channels are anchored, or how a trader might…

Tekniske indikatorerVolatilitet
SuperMind

This Chinese A-share stock screen selects shares with a daily high-low range above a stated threshold, while excluding Beijing-listed stocks and specified board categories. The article also describes a refinement that keeps prices close to a 60-period moving…

AksjerKinesiske markederTekniske indikatorerRisikostyring
MQL5 code base

The document outlines a function for opening a trade in an MQL5 environment. It describes deriving an opening price and take-profit and stop-loss levels from symbol data and user parameters, then preparing a trade request with details such as instrument,…

OrdreutførelseRisikostyring
MQL5 code base

CronexCCI adapts the MACD concept by applying it to a time series of Commodity Channel Index (CCI) values instead of prices. It displays the resulting indicator as a colored cloud, offering a visual way to examine changes and relationships in the transformed…

Tekniske indikatorer
Qlib

This paper description presents a learnable scheduler for sequence-learning problems with related prediction tasks, such as forecasting returns at different future horizons. During training, the scheduler chooses an auxiliary task based on the current model…

MaskinlæringAksjerKinesiske markederHistorisk testing
BigQuant

This forum post presents a workflow for combining predictions from three model outputs. It merges the datasets on instrument and date, preserves columns that are not already present, renames each model’s prediction column, and computes their arithmetic mean…

MaskinlæringPorteføljekonstruksjonHistorisk testing
MQL5 code base

This short indicator description introduces round price levels as possible support or resistance. It gives EUR/USD examples at prices ending in two zeroes after the decimal point and describes an indicator that displays the two nearest such levels above the…

ValutahandelTekniske indikatorer