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Quant Q&A
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SuperMind
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
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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
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
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Robot Wealth
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NautilusTrader
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Hummingbot docs
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Paradigm research
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Lumibot
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Kraken Learn
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Kvantitatīvās tirdzniecības kursu bibliotēka
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OctoBot
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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
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vn.py
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Binance API docs
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Quantopian lekcijas
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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
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pyfolio
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Alphalens
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WonderTrader
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backtesting.py
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Technical Analysis
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QTPyLib
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QuantRocket
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Lumibot strategies
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Awesome Quant
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Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This strategy example uses the relationship between short- and long-period moving averages to identify directional trends. It filters crossover signals using the size of the moving-average difference, recent price momentum, and configurable thresholds tied…

Sekošana tendenceiCenas impulssTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This strategy combines a rising 20-day simple moving average with changes in ADX and RSI readings to seek long positions during upward trends. It describes two entry paths: one allows RSI below 85 when ADX rises by more than 0.2, while another requires RSI…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy seeks medium- to longer-term trend entries by combining price crossings of several exponential moving averages with MACD and RSI filters. It counts recent crossings to identify choppy conditions, then looks for a close crossing an EMA with MACD…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This hybrid strategy combines a 123 reversal system with the Commodity Selection Index (CSI). The reversal component uses consecutive daily closes and a Stochastic condition to signal a possible turn. CSI combines volatility information from Average True…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasCenas impulssSvārstīgums
Strategy library

This strategy combines a 123 reversal signal with a fast and slow kurtosis indicator (FSK). The 123 component uses consecutive-bar price relationships and a Stochastic oscillator to indicate a possible reversal. FSK assesses momentum changes using a smoothed…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriCenas impulss
Strategy library

This strategy uses the crossover of a 50-period and a 200-period exponential moving average to generate directional trades. A move of the faster EMA above the slower EMA opens a long position; a move below it opens a short position. The averages are plotted…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This strategy combines four Ehlers indicators to filter potential trades using trend, cycle, momentum, and price-rank information. The article describes long entries when the Elegant Oscillator and Decycler signals turn positive, price moves above the…

Tehniskie indikatoriSekošana tendenceiCenas impulssNākotnes līgumi
Strategy library

This is a daily-chart trend-following approach based on Ichimoku components. The article describes using the cloud to assess the broad market direction and using the Chikou Span crossing an equilibrium line as the trade signal: crossovers suggest a long…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiRiska pārvaldība
Strategy library

This strategy normalizes a MACD-derived series over a rolling window, smooths it with a weighted moving average trigger, and uses crossings to identify potential trades. Short- and long-period Hull-style moving averages provide a broader trend check. The…

Tehniskie indikatoriCenas impulssSekošana tendenceiRiska pārvaldība
Strategy library

This strategy combines four exponential moving averages with an ATR-based trailing stop. It treats price above all four averages as an uptrend and price below all four as a downtrend. A long or short signal requires price to cross the trailing stop in the…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This strategy combines a MACD-style fast and slow average comparison with Supertrend direction to align entries across shorter and longer horizons. The code calculates the average difference and its signal line, then enters long when the short-term…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

The strategy combines MACD zero-line crossings with Stochastic RSI extremes to signal reversals. It buys when the MACD line crosses above zero while Stochastic RSI is below its oversold threshold, and sells when MACD crosses below zero while Stochastic RSI…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This strategy description combines RSI, two simple moving averages, two exponential moving averages, and Bollinger Bands to generate directional signals. The source code specifies a short setup when price is below both moving averages and both exponential…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSekošana tendencei
Strategy library

This strategy builds a SuperTrend direction line from the average true range (ATR), using either the built-in ATR calculation or a simple moving average of true range. The trend switches when price crosses the prior trailing band. A long entry is signaled…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This intraday trend-following system uses the 15-period RSI and a 50-period EMA of RSI to determine direction, with a 50-period volume average confirming long entries. A long signal occurs when RSI crosses above its EMA while volume is above its average; a…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas impulss
Strategy library

This script describes a mean-reversion strategy for two related futures contracts. It collects daily closes over a rolling window, standardizes each contract’s prices separately, and defines the spread as the difference between those standardized series. It…

Nākotnes līgumiPāru tirdzniecībaAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude
Strategy library

The document introduces a configurable TradingView strategy for testing RSI, moving average, and MACD signals within one dashboard. Users can enable one or more indicator modules, choose AND or OR logic when combining signals, and select long trades, short…

Tehniskie indikatoriVēsturisko datu pārbaudeStatistika
Strategy library

This trend-following approach uses a fast and slow Fractal Adaptive Moving Average (FRAMA) crossover to generate long and short signals. A SuperTrend direction check can optionally filter entries, and a reversal can optionally close positions. The strategy…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines ADX trend-strength readings with the positive and negative directional indicators to decide when to trade. It enters long when ADX exceeds a configurable threshold and +DI is above -DI, or short when the opposite directional…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This trend-following system enters long when a 10-period exponential moving average crosses above a 20-period weighted moving average, and short when it crosses below. The source takes trades only while flat and allows users to enable either direction. The…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

The strategy looks for a candle whose real body is larger than the recent range of candle bodies, measured over a configurable lookback. If the condition occurs while flat, it enters long on a bullish candle or short on a bearish candle. The range comparison…

Cenas izrāviensTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This short-term strategy uses recent price highs and lows to construct trend lines whose slopes update as new extrema form. It tracks highs and lows over a configurable lookback, then estimates slope using later bars. Long and short signals come from price…

Nākotnes līgumiCenas izrāviensSekošana tendenceiTehniskie indikatori
Strategy library

This gold strategy builds an opening range during the 13:00–14:00 UTC hour on weekdays, then looks for a long breakout during a later entry window. A signal requires price to cross above the range high, a bullish bar, elevated volume, and volatility…

IzejvielasCenas izrāviensTehniskie indikatoriSvārstīgums
Strategy library

This U.S. stock strategy takes a directional position when a security has moved far enough from the previous session’s close by 2:00 PM. It buys after a sufficiently large rise and shorts after a sufficiently large decline, then enters shortly after the…

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