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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 Pine Script strategy combines a moving-average trend filter, a volume condition, fair value gap patterns, and swing break signals. Long setups require price above the selected simple and exponential moving averages, a bullish break of a recent swing…

Tehniskie indikatoriCenas izrāviensSekošana tendenceiRīkojumu izpilde
Strategy library

This document describes a configurable futures strategy for one trade in a selected contract and direction. The trader can specify quantity, entry cost, and take-profit or stop-loss prices, or use price differences from the cost to set those levels. The…

Nākotnes līgumiRiska pārvaldībaRīkojumu izpildePozīcijas apjoma noteikšana
Strategy library

This US equity strategy builds an equal-weighted portfolio through successive screens. It starts with liquid NYSE stocks while excluding financial companies, ADRs, and REITs; selects firms with low enterprise-value-to-EBIT ratios; then favors stronger…

AkcijasFaktoru ieguldīšanaCenas impulssSekošana tendencei
Strategy library

This strategy description pairs trend signals with defined-risk options spreads. It uses a 20/50 EMA crossover to set direction, requires ADX above 15, checks RSI above 45 for bullish setups or below 55 for bearish setups, and confirms price is on the…

OpcijasSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

The Ruda strategy combines a short and long exponential moving average with On-Balance Volume and candle-body size to find long entries. The described setup uses EMA lengths of 5 and 21, an OBV high over 10 days, and a candle body exceeding half the candle’s…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This strategy takes the absolute value of a normalized Chande Momentum Oscillator calculation to gauge momentum magnitude on a bounded scale. With a stated default length of nine, it enters short when the indicator rises above 70 and long when it falls below…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

This document describes a long-only trend-following approach using crossovers between fast and slow moving averages. It offers SMA, EMA, or WMA calculations, with default lengths of 21 and 34. A fast average crossing above the slow average opens a long…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiVēsturisko datu pārbaude
Strategy library

The script builds rolling high and low levels using a sensitivity input, then marks those levels active after price breaches prior extrema. An ATR-based trailing trend calculation supplies a directional state, while RSI checks whether an overbought or…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This crypto strategy uses recent pivot highs and lows as reference levels for reversal trades. Its description calls for a breakout beyond a pivot by a meaningful distance, plus a 150-bar closing-price filter, before entering a long or short position. It…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This breakout approach combines fast and slow exponential moving average crossovers with Fibonacci retracement levels and longer-term moving averages. The document defines the Golden Pocket using the 61.8% and 65% retracement levels, and describes using a…

KriptoaktīviTūlītējo darījumu tirgiCenas izrāviensSekošana tendencei
Strategy library

This trend-following strategy enters long or short when the Supertrend indicator changes direction. It sets stop-loss and take-profit distances using the current ATR multiplied by separate user inputs, and the document describes sizing each trade at a fixed…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This reversal strategy detects pivot highs and pivot lows using configurable left- and right-bar lookback settings. When a pivot high is confirmed, it places a stop order for a long entry just above that pivot; after a pivot low, it places a stop order for a…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriRīkojumu izpilde
Strategy library

This strategy identifies bullish and bearish displacement candles by comparing each candle’s body with its wicks, while excluding candles whose bodies are small relative to their full range. It forms zones from the two most recent displacement candle highs…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This strategy measures the percentage difference between closing price and a double exponential moving average. It generates a long entry when that difference crosses above a configurable lower threshold and a short entry when it crosses below an upper…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiRiska pārvaldība
Strategy library

This framework example uses the NIFTY 50 index as a signal series and a related India-listed ETF as the tradable instrument. It calculates two exponential moving averages on the index, waits for indicator readiness and minute data for both symbols, then buys…

AkcijasSekošana tendenceiTehniskie indikatoriRīkojumu izpilde
Strategy library

This short-only strategy applies RSI to the Ultimate Oscillator and combines the resulting signal with a bearish trend filter. It computes the Ultimate Oscillator from buying pressure and true range over three lookback periods, then calculates a short RSI of…

Tehniskie indikatoriCenas impulssPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This strategy combines fast and slow trend measures with price channels. The document describes a fast five-period average for signals and a slower 21-period measure for broader direction, alongside channels based on recent highs and lows. Channel behavior…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiRiska pārvaldība
Strategy library

This trend-following method builds a moving-average line, with ZLEMA as the default, and places trailing stop levels at an ATR-based distance. It uses CMO-derived movement in the adaptive average calculation and describes three signal families: crossings…

Sekošana tendenceiSvārstīgumsTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This long-only Bitcoin strategy combines two entry styles on an hourly chart: a mean-reversion signal when a 10-period RSI falls below 30, and a momentum signal when price rises above the previous seven-period high. RSI entries exit when RSI exceeds 50 or…

KriptoaktīviAtgriešanās pie vidējās vērtībasCenas izrāviensTehniskie indikatori
Strategy library

This strategy uses SuperTrend bands derived from a price source and ATR to identify changes in trend. A shift from a falling to a rising trend generates a long signal; the reverse shift generates a short signal. The description says ATR can be calculated…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This trend-following strategy uses a fast and a slow exponential moving average to generate directional entries: a cross above signals a long, while a cross below signals a short. The stated periods are 21 and 55. Average True Range sets the distance for…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

This example shows how to connect a QuantConnect algorithm to CrunchDAO and submit portfolio targets on a weekly schedule. It reads a remote security skeleton to build a changing universe, tracks additions and removals, filters for securities with positive…

Rīkojumu izpildePortfeļa veidošana
Strategy library

This example explains how data consolidators transform incoming trade or quote data into bars of a chosen duration or count, then publish each completed bar through an event handler. It demonstrates registering consolidators directly and using convenience…

Rīkojumu izpildeTirgus mikrostruktūraVēsturisko datu pārbaudeAkcijas
Strategy library

This strategy opens long positions when RSI crosses above its oversold threshold while price is below a moving average. After the initial entry, it places additional buys at progressively lower price levels to average down. It can also add a fixed amount…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori