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20,364 dokumenter
SuperMind
12,226 dokumenter
OKX Learn
8,431 dokumenter
Strategy library
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MQL5 code base
7,090 dokumenter
BigQuant
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Bitget Academy
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MQL5 articles
3,012 dokumenter
TradingView scripts
1,976 dokumenter
ProRealCode
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
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Amberdata research
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FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
vn.py community
560 dokumenter
QuantInsti blog
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Galaxy Research
340 dokumenter
QuantStart
246 dokumenter
Stratmill research code
219 dokumenter
Robot Wealth
195 dokumenter
NautilusTrader
191 dokumenter
Hummingbot docs
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Paradigm research
175 dokumenter
Lumibot
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Kraken Learn
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Bibliotek med kvantkurser
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
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Systematic trading blog (Rob Carver)
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Qlib
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TqSdk
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Quantpedia
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Hyperliquid docs
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Freqtrade
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Hudson & Thames
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Awesome Systematic Trading
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backtrader
54 dokumenter
vn.py
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Binance API docs
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Quantopian-forelæsninger
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FMZ guides
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pysystemtrade
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Freqtrade docs
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quant-trading
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FinRL
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Zipline
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FMZ live strategies
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Jesse
17 dokumenter
pyfolio
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WonderTrader
14 dokumenter
Alphalens
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
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QTPyLib
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QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søg i biblioteket

79,386 dokumenter

ProRealCode

This indicator compares a volume-weighted moving average (VWMA) with a 20-period simple moving average (SMA). It colors the chart background green when the VWMA is above the SMA and red otherwise, giving a quick view of their relative position. It also draws…

Tekniske indikatorerTrendfølgning
SuperMind

This stock-selection rule screens for names with an amplitude measure above 1, large-order net volume above 0.05 for at least three consecutive days, and a volume ratio between 1.5 and 6. It frames amplitude as a measure of price movement, net volume as a…

AktierTekniske indikatorerMomentumMarkedsmikrostruktur
Stratmill research code

This strategy uses copulas to estimate conditional probabilities between two assets’ daily returns. It accumulates each probability’s deviation from 0.5 into a mispricing index flag, intended to translate return dependence into a measure of how prices have…

ParhandelStatistikTilbagevenden til gennemsnittetBacktesting
BigQuant

This discussion describes a model-stacking problem in a Chinese quantitative research platform. A user has trained and persisted twenty StockRanker models using the same factor set but differing in date ranges, data filters, or prediction horizons. The goal…

AktierMaskinlæringPorteføljekonstruktionKinesiske markeder
SuperMind

This note describes a China-market stock screen for companies classified in the metaverse theme. It selects stocks whose closing price is above the five-day moving average and whose previous-day traded value exceeds 60 million. The author presents the…

AktierTekniske indikatorerMomentumKinesiske markeder
MQL5 code base

This short indicator description presents a Stochastic Oscillator derived from William Blau’s Stochastic Momentum concept, as discussed in his book on momentum, direction, and divergence. The implementation displays the oscillator as a color-coded histogram…

Tekniske indikatorerMomentumStatistik
SuperMind

A beginner asks whether an automated strategy can trade only stocks listed on China’s ChiNext board. The replies explain that the strategy’s candidate universe can be filtered by stock code, retaining securities whose codes begin with the board’s identifying…

AktierKinesiske markeder
SuperMind

This Chinese stock-screening post combines three technical conditions: a daily price range above a stated threshold, an opening price near the 10-day moving average, and weekly MACD above zero. The post interprets these as signs of higher volatility, a…

AktierTekniske indikatorerTrendfølgningKinesiske markeder
SuperMind

This post describes a stock-selection idea that combines MACD above zero, a favorable company characteristic, and a minimum listing history. Its rationale treats positive MACD as a sign of price strength and listing age as a way to avoid very recently listed…

Kinesiske markederAktierTekniske indikatorerMomentum
SuperMind

This Chinese-language post proposes a stock screen using three conditions: a large daily high-low range, at least one single-day gain of 10% or more during the preceding 25 trading days, and an opening price near the ten-day moving average. It frames the…

Kinesiske markederAktierMomentumTekniske indikatorer
MQL5 code base

The document explains a ZigZag indicator that stores swing highs and lows in separate buffers. A candidate high or low is identified by comparing it with the corresponding values across a configurable number of earlier bars; the stated default lookback is…

Tekniske indikatorerStatistik
SuperMind

This proposed screen targets metaverse-related stocks with three technical crossover conditions and at least two limit-up events during the prior 500 days. The article names MACD-related signals and a 5-day versus 10-day moving-average crossover, and…

AktierTekniske indikatorerMomentumKinesiske markeder
SuperMind

This proposed Chinese equity screen looks for stocks associated with the metaverse concept, a rising 30-day moving average, and total assets above 200 million yuan. The article includes a platform formula reference and a Python example that filters a data…

AktierTekniske indikatorerTrendfølgningKinesiske markeder
SuperMind

This stock-selection screen combines three filters: RSI below 65, a 20-day moving average above the 120-day moving average, and exclusion of stocks identified as belonging to the excluded technology board. The accompanying Python example retrieves stock…

AktierTekniske indikatorerTrendfølgningKinesiske markeder
SuperMind

This note describes a stock screen requiring amplitude above 1, positive institutional money-flow direction, and a positive daily MACD. The conditions combine a measure of price movement, a proxy for institutional flows, and a momentum indicator intended to…

AktierTekniske indikatorerMomentumRisikostyring
SuperMind

This note presents a Chinese stock-selection screen using three conditions: today’s increase in holdings above 5%, the ratio of external to internal trading volume above 1.3, and the 20-day moving average above the 120-day moving average. The first two…

AktierTekniske indikatorerMomentumMarkedsmikrostruktur
SuperMind

This note describes a Chinese equity screen combining price movement, trading activity, opening behavior, and a long-term trend filter. It selects stocks with amplitude above 1, current volume above 10,000 lots, an open above the previous close, and a close…

AktierTekniske indikatorerTrendfølgningRisikostyring
SuperMind

This stock-screening idea selects shares with RSI below 65, free-float market value between 5 and 10 billion yuan, and daily price amplitude above 1%. The article explains the intended roles of the filters: RSI indicates short-term overbought or oversold…

Kinesiske markederAktierTekniske indikatorerMomentum
OctoBot

This French-language overview compares five open-source tools for automating cryptocurrency trading: OctoBot, FreqTrade, Hummingbot, Jesse, and Superalgos. It describes their broad use cases and relative strengths, including configurable strategies, cloud or…

KryptoMarket makingGrid-handelBacktesting
ProRealCode

This indicator divides a selected price range into bins and totals volume associated with bars whose closing prices fall in each bin. It marks the bin with the greatest volume as a strong level, then identifies low-volume bins above and below it as potential…

Tekniske indikatorerKursgennembrudRisikostyring
SuperMind

The proposed stock screen selects shares with daily amplitude above a threshold, a weekly five-period moving average crossing above the ten-period average, and an appearance on the prior day’s exchange trading-activity list. The rationale combines price…

Kinesiske markederAktierTekniske indikatorerMomentum
BigQuant

The document describes a daily classification approach for detecting positive momentum, negative momentum, or normal conditions in Bitcoin, Ethereum, and Litecoin. It uses historical prices and technical indicators as features, then compares classifiers…

KryptoMomentumMaskinlæringTekniske indikatorer
SuperMind

This post proposes a stock screen combining three conditions: relatively strong trading activity, a nonempty convertible-bond-related name field, and a shortening negative MACD histogram on a 15-minute chart. The author interprets the histogram condition as…

AktierTekniske indikatorerMomentumKinesiske markeder
SuperMind

This post outlines a daily pre-market screen for Shenzhen main-board shares. It selects stocks with MACD above zero and positive earnings, then applies valuation bands: price-to-earnings from zero to 29.01 and price-to-book from zero to 3.11. The stated…

AktierTekniske indikatorerMomentumKinesiske markeder