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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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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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WonderTrader
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Alphalens
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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 derives support and resistance from pivot lows and highs using configurable lookback bars, then plots those levels and marks price breaks. A volume oscillator compares short and longer exponential averages of volume; a breakout alert or marker…

Cenas izrāviensTehniskie indikatoriNākotnes līgumiKriptoaktīvi
Strategy library

This strategy seeks pullback entries in established trends. It identifies direction from successive pivot highs and lows: higher highs with higher lows indicate an uptrend, while lower highs with lower lows indicate a downtrend. When neither pattern appears,…

Sekošana tendenceiCenas impulssTehniskie indikatoriRiska pārvaldība
Strategy library

This long-only system watches a two-period RSI for an oversold reading, then enters when RSI turns upward, provided the market is above a configurable simple moving average when that filter is enabled. The position is closed after a fixed number of bars,…

KriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines an ATR-based SuperTrend direction filter with Stochastic oscillator crossovers. A long setup requires a bullish SuperTrend, the %K line crossing above %D, and %K below the oversold threshold. A short setup requires a bearish trend…

Sekošana tendenceiCenas impulssTehniskie indikatoriSvārstīgums
Strategy library

This strategy uses the Faytterro Estimator to derive a convergence and divergence measure from price, fit a quadratic curve, and look for a change in its direction as a possible trend signal. The described implementation compares nearby curve values at…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This Pine Script excerpt focuses on configurable trade management rather than a complete entry strategy. It provides inputs for cash allocated per position, the number of positions opened per signal, and three profit targets with separate counts of positions…

Pozīcijas apjoma noteikšanaRiska pārvaldībaRīkojumu izpilde
Strategy library

This document outlines a grid strategy that derives long and short levels from Bollinger Bands. It uses a 20-period simple moving average as the center and bands two standard deviations away, then places four stepped levels relative to the lower and upper…

Režģa tirdzniecībaTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This short-term strategy combines price crossings of a 48-period EMA with RSI, MACD, Bollinger Bands, nearby support or resistance, and higher-timeframe context. Long entries require an upward EMA cross and bullish momentum confirmation; short entries use…

Tehniskie indikatoriCenas izrāviensPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This short-term trend strategy combines a 200-period EMA, a Trend Trader Strategy band, and the Schaff Trend Cycle. The EMA classifies price as bullish or bearish relative to its level; the TTS component uses breaks of calculated upper or lower limits; and…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiRiska pārvaldība
Strategy library

This short example demonstrates how to attach a custom margin interest model to an equity security in a backtest. The algorithm adds SPY at hourly resolution, sets a date range, and establishes a position. Its custom model applies interest to positive-valued…

Vēsturisko datu pārbaudeAkcijasRiska pārvaldībaStatistika
Strategy library

This document describes an intraday reversal framework that looks for qualifying bullish or bearish candles touching daily pivot levels, support and resistance bands, the Central Pivot Range, VWAP, or its moving average. Candle filters include a minimum body…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

This strategy requires agreement among three indicators before taking a directional position. It compares price with a 20-period EMA, MACD with its signal average, and RSI with an EMA of RSI. Long exposure is opened when all three readings are above their…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

This trend-following method uses a 10-period EMA crossing a 20-period EMA to trigger entries, conditioned on price being on the matching side of a 50-period EMA. Long signals require price above the longer average, while short signals require price below it.…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines a 123-style reversal signal with a Bill Williams moving-average alignment. The reversal component looks for two consecutive closes in one direction alongside a stochastic condition. The second component uses displaced moving averages…

KriptoaktīviNākotnes līgumiSekošana tendenceiAtgriešanās pie vidējās vērtības
Strategy library

This strategy uses four pairs of exponential moving averages to build directional signals at different time scales. A bullish crossover in the 1/5, 3/10, 5/20, or 10/40 day pair opens a corresponding long entry; when the shorter EMA falls below its partner,…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This strategy combines Stochastic %K and %D crossovers with Chaikin Money Flow (CMF), which incorporates volume-weighted price location. It opens a long when %K crosses above %D and CMF exceeds 0.1; it opens a short when %K crosses below %D and CMF is below…

Tehniskie indikatoriCenas impulssNākotnes līgumiRiska pārvaldība
Strategy library

This Freqtrade strategy uses a 40-period Bollinger Band on one-minute candles to identify potential long entries after price falls below the prior lower band. It also requires a sufficiently wide band, a large close-to-close move, a small lower tail relative…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

This trend-following rule combines a 10-period simple moving average with MACD. It opens a long position when the close crosses above the SMA at the same time the MACD line crosses above its signal line. It closes the long when price crosses below the SMA…

Tehniskie indikatoriSekošana tendenceiCenas impulssNākotnes līgumi
Strategy library

This strategy uses a fast and a slow EMA to define trend direction, then compares price with the averages to classify market zones. The overview describes six zones, including buy, potential-buy, sell, and potential-sell states. A buy is signaled on the…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This strategy combines a T3 moving average with an ATR-based trailing stop. Price crossing the T3 line is presented as a direction signal, while ATR measures recent volatility and scales the distance between entry, stop, and profit target. The source adds a…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

The strategy combines an RSI-derived fast and slow EMA trend filter with price swing channels, moving average bands, or Fibonacci-style ATR bands as entry triggers. The written overview describes channel breaks, moving average crosses, and band breaks as…

Tehniskie indikatoriCenas izrāviensSekošana tendenceiRiska pārvaldība
Strategy library

This five-minute long-only strategy combines trend strength, oversold readings, and a fast stochastic crossover to define entries. It requires either a high short-period ADX or a qualifying slower ADX, a CCI below its oversold level, and both fast and slow…

KriptoaktīviTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

This strategy applies a two-stage smoothing process to price data and uses an Ehlers cyber cycle calculation to produce a directional signal. The source first smooths the selected price series, computes a recursive cycle value, and then applies exponential…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSekošana tendencei
Strategy library

This counter-trend method uses the Ultimate Oscillator, which combines price information across multiple lookback periods, to identify potential oversold rebounds. It considers long entries when the oscillator crosses upward through a low threshold, with 45…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori