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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 med kvantkurser
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-forelæsninger
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FMZ guides
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pysystemtrade
34 dokumenter
Freqtrade docs
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quant-trading
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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

Søg i biblioteket

79,386 dokumenter

SuperMind

This Chinese community post outlines an equity screen combining a price-range condition, five consecutive years of return on equity above 15%, membership in a robotics-related concept group, and circulating market value below 10 billion yuan. It presents the…

AktierKinesiske markederFaktorinvestering
MQL5 code base

The document introduces an MQL4 display tool for showing daily percentage changes across symbols in a Market Watch list. It describes three visual modes—scale, gradient, and heatmap—and says the example uses RGB colors with the standard string-to-color…

Tekniske indikatorerFlere aktivklasser
SuperMind

The document outlines a technical stock screen requiring price amplitude above 1%, a high equal to the highest high over two days, and a newly formed KDJ golden cross. It presents these conditions as a way to find stocks with active price movement, recent…

AktierKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese A-share screening strategy combines a technical condition, a fundamental growth condition, and a market price filter. It selects stocks with RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20%…

Kinesiske markederAktierTekniske indikatorerMomentum
MQL5 code base

The document describes an indicator that uses principal component analysis to choose coefficients for instruments in a pseudo-stationary portfolio intended to return toward zero. It frames each instrument as a dimension in a multivariate dataset and uses PCA…

StatistikPorteføljekonstruktionTilbagevenden til gennemsnittetRisikostyring
MQL5 code base

The document introduces a channel indicator that redraws using a specified number of bars ahead. Its only parameter described is a look-up distance of 24 bars, which controls how far the indicator looks forward. This makes the indicator’s plotted channel…

Tekniske indikatorerBacktesting
Amberdata research

This overview describes an interactive Moody’s data story examining prominent stablecoin depegs through dynamic charts. The reported episodes include Terra’s collapse, an FTX-related USDT depeg, USDC losing its peg amid stress in traditional finance, and a…

KryptoDeFiVolatilitetRisikostyring
SuperMind

This Chinese A-share selection screen combines an intraday price-movement filter with size, profitability, and pre-open price-change conditions. It seeks stocks with an amplitude above 1, market capitalization no greater than 10 billion yuan, positive net…

AktierKinesiske markederVolatilitetMomentum
ProRealCode

This indicator uses a rolling linear regression of closing prices to identify directional trend changes. It plots a blue line during a positive regime and a red line during a negative regime. The described settings use a 100-bar regression window and a…

Tekniske indikatorerTrendfølgningTilbagevenden til gennemsnittetVolatilitet
SuperMind

This stock screen selects companies in the metaverse industry whose volume ratio is between 1.5 and 6 and whose best bid volume exceeds best ask volume. The article presents the conditions as a way to combine an industry theme with signs of elevated trading…

AktierKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

This stock screen selects Chinese equities whose codes begin with 60, whose intraday high-low range exceeds one percent of the prior close, and whose one-day return is below 2.6% but above negative 5%. The document gives both formula-style conditions and a…

AktierKinesiske markederVolatilitetTekniske indikatorer
MQL5 code base

The document describes an indicator that displays BrainTrend2_V2 candle colors across ten user-selected timeframes. Its inputs specify the timeframes and the bar from which to read a signal, along with the underlying indicator's ATR period. The display uses…

Tekniske indikatorerTrendfølgning
vn.py community

The discussion describes a rolling-window backtest in which parameters are optimized on a sequence of historical months and then applied to the next month. As the test advances, the training window shifts forward by one month, so each new period is evaluated…

BacktestingStatistik
NautilusTrader

This document explains how a backtest matching engine assigns fill prices across depth books, top-of-book data, and bar-based triggers. Market orders can walk available levels; limit orders use crossed prices when taking liquidity and their limit when…

BacktestingOrdreudførelseMarkedsmikrostrukturRisikostyring
SuperMind

The document describes a Chinese stock-selection screen combining turnover, order-flow imbalance, and positive returns. Its stated selection logic looks for stocks with turnover between 3% and 12%, an external-to-internal volume ratio above 1.3, and positive…

AktierKinesiske markederTekniske indikatorerMarkedsmikrostruktur
MQL5 code base

The document clarifies why a chart may show two values for the MESA Adaptive Moving Average (MAMA). It identifies the second value as the Following Adaptive Moving Average (FAMA), a companion average associated with John Ehlers. The two values are used…

Tekniske indikatorerTrendfølgning
SuperMind

This stock screen combines three conditions: amplitude above one, a prior-day 9:15 auction matched price at the limit-down level, and an appearance on the prior day’s trading list. The article interprets the filters as capturing volatility, weak market…

AktierVolatilitetBegivenhedsdrevetRisikostyring
MQL5 code base

This document describes an Expert Advisor that acts on signals from a technical indicator called Stalin. A trade signal is generated when a colored arrow appears at the close of a bar, so the system’s entries depend on the indicator’s plotted direction cues.…

ValutahandelTekniske indikatorerBacktesting
SuperMind

This stock screen selects shares with an amplitude above one, a price average above the five-day moving average, and high current-day auction turnover, retaining the top five by turnover. The article interprets the amplitude filter as a way to find volatile…

AktierTekniske indikatorerMomentumRisikostyring
SuperMind

This Chinese equity screen combines a positive MACD reading with positive price change and positive large-order net buying. It also limits candidates to companies with market capitalization at or below 10 billion yuan and positive profit. The article frames…

AktierKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese equity screening strategy selects robot-concept stocks with a turnover rate between 3% and 12%, a circulating market value below 10 billion yuan, and prior-session opening-auction turnover above 0.26. The article suggests the auction activity…

AktierKinesiske markederTekniske indikatorerMomentum
MQL5 code base

The document describes a simple indicator intended to assess autocorrelation in a price series. Positive readings are presented as signs of more directional movement, which might accompany a developing trend or a possible reversal. Negative readings are…

Tekniske indikatorerStatistik
MQL5 code base

The document briefly introduces the Keltner channel as an indicator whose upper and lower boundaries depend on a multiplier and a chosen measure of range. It identifies two calculation approaches: averaging candle-body size or using average true range data.…

Tekniske indikatorerVolatilitet