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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

SuperMind

This note proposes screening Chinese stocks with positive but limited returns over the prior ten days, a report of main-fund control on the previous day, and at least five converging moving averages. It then revises the screen to use six moving-average…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This stock screen selects equities with turnover in a stated range, a prior-day appearance on a market trading activity list, and upward-moving averages. The detailed conditions also require a listing history exceeding one year, a close above its ten-day…

AksjerMomentumTekniske indikatorerRisikostyring
SuperMind

This stock-selection idea combines three filters: price amplitude above a stated threshold, actual turnover from the prior day within a specified range, and exclusion of stocks that closed at the daily upper price limit on the previous day. The document…

AksjerTekniske indikatorerHistorisk testingRisikostyring
MQL5 code base

This brief description covers a higher-timeframe version of a volume-weighted moving average cloud indicator. Its main feature is a user-selectable chart period, with four-hour data shown as the default example. The description implies that the indicator can…

Tekniske indikatorer
SuperMind

This Chinese stock-selection article proposes combining an RSI reading below 65 with seven consecutive sessions in which the close is below the open, followed by a strong upward move on elevated volume. It describes the final condition as a close near the…

AksjerTekniske indikatorerMomentumKursbrudd
SuperMind

The document describes a Chinese A-share screening rule for stocks associated with the metaverse theme. It combines a price condition relative to the 250-day moving average with a fixed closing-price condition. The prose refers to the prior day’s price being…

AksjerTekniske indikatorerKinesiske markederRisikostyring
SuperMind

This post describes a stock screen for Shenzhen main-board shares using a price-to-earnings range of 0 to 29.01, a price-to-book range of 0 to 3.11, a 2019 dividend payout ratio above 25%, and an amplitude condition above 1. It frames the filters as a…

AksjerKinesiske markederFaktorinvesteringRisikostyring
vn.py community

This brief forum exchange answers a question about where log messages go during a backtest when using the BacktestingEngine. The questioner observes that the engine stores messages in a logs collection and asks how to access them. The reply says the messages…

Historisk testing
SuperMind

This post proposes a Chinese stock screen combining three conditions: at least five moving averages converge, the prior day’s turnover exceeds 8%, and the 30-day moving average is rising. The author interprets convergence as relatively stable prices, high…

AksjerKinesiske markederTekniske indikatorerMomentum
BigQuant

This report examines three connected areas of China’s technology sector: 5G communications, artificial intelligence, and semiconductor chips. It presents 5G as infrastructure for faster data transfer and connected devices, AI as an application area that…

AksjerKinesiske markederFlere aktivaklasser
MQL5 code base

Daily BreakPoint is described as a breakout strategy that enters when price moves beyond the prior daily bar by a specified number of points. Its inputs include the breakout distance, minimum and maximum sizes for the last bar, stop loss, take profit, and…

KursbruddTekniske indikatorerPosisjonsstørrelseRisikostyring
FMZ live strategies

This page records a live Binance futures robot identified as using a martingale strategy and running across numerous trading pairs. It presents a dashboard snapshot with account and strategy figures, including reported return, drawdown, win rate, fees,…

KryptoFuturesEvigvarende futuresRisikostyring
MQL5 code base

Binario is an Expert Advisor that calculates exponential moving averages of the same period using high and low prices. The description says these averages adjust the system’s settings, but do not generate buy or sell signals. Instead, the EA alternates long…

ValutahandelTekniske indikatorerRisikostyringOrdreutførelse
MQL5 code base

The document introduces a version of the fractal dimension indicator attributed to Mark Jurik. It describes the indicator as a tool for assessing whether price changes appear to be trending or ranging, rather than predicting whether prices will rise or fall.…

Tekniske indikatorerStatistikk
SuperMind

This index timing method fits a quadratic function to a local segment of a historical price series, using either closing prices or the average of opening and closing prices. It treats the slope at the newest fitted point as an indicator of whether the series…

Kinesiske markederAksjerTekniske indikatorerStatistikk
MQL5 code base

This document describes an Expert Advisor that trades from signals produced by the iRSISign indicator. A signal is generated when the indicator displays a colored icon at a bar’s close. The strategy therefore uses the indicator’s signal as its entry trigger;…

ValutahandelTekniske indikatorerHistorisk testing
ProRealCode

This indicator overlays two kinds of bands calculated from log-transformed closing prices. The statistical bands use a rolling average and standard deviation, similar in spirit to Bollinger Bands. The regression bands use a rolling ordinary least squares…

Tekniske indikatorerStatistikkVolatilitetHistorisk testing
BigQuant

The document describes a convertible-bond setup that enters after a V-shaped recovery when price rises through the left shoulder of the pattern, above its right shoulder. The right shoulder must be at least 3.5 points above the V’s low. The trader then uses…

Tilbakevending mot gjennomsnittetTekniske indikatorerRisikostyring
SuperMind

The proposed A-share screen selects stocks whose price amplitude exceeds 1, excludes Beijing-listed shares, and requires the stock to have appeared on the previous day’s Dragon-Tiger list, a disclosure of notable trading activity. The post frames amplitude…

AksjerKinesiske markederTekniske indikatorerHendelsesdrevet handel
SuperMind

This short-term stock selection method combines three conditions: price amplitude above 1, yesterday’s turnover multiplied by today’s opening-auction volume divided by yesterday’s volume between 0.5 and 2, and an outside-to-inside volume ratio above 1.3. The…

AksjerKinesiske markederMarkedsmikrostrukturTekniske indikatorer
SuperMind

The document outlines an equity screening rule combining a daily high-low range greater than one percent of the prior close, weekly MACD above zero, and exclusion of stocks that hit the daily upper price limit on the previous day. It presents these…

AksjerTekniske indikatorerMomentumKinesiske markeder
vn.py community

The discussion addresses whether a VeighNa strategy continues trading after the market closes and reopens the next day. The question assumes the trading interface remains open and asks whether the platform will automatically log in and resume the prior…

Ordreutførelse
Hummingbot docs

The document explains a market-making setting in which a bot replaces filled orders as soon as it has no active orders. During a sustained price move, repeatedly refreshing both sides can lead the bot to keep buying into a decline or selling into a rise,…

KryptoMarket makingOrdreutførelseRisikostyring
SuperMind

The document describes a Chinese A-share stock screen combining price amplitude above 1%, a circulating share count no greater than 5.5 billion, and auction-period price movement accompanied by large and extra-large buy-flow volume above the stated…

AksjerKinesiske markederVolatilitetMarkedsmikrostruktur