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OKX Learn
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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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FMZ forum
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FMZ digest
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vn.py community
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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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Quantpedia
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TqSdk
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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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Quantopian lekcijas
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Binance API docs
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FMZ guides
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quant-trading
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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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backtesting.py
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Technical Analysis
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QTPyLib
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QuantRocket
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Awesome Quant
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Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This strategy treats certain RSI threshold crossings as failed reversal signals. A long is triggered when RSI was above its overbought level three bars earlier, has since fallen below that level, and price is still rising. The short setup mirrors this: RSI…

Cenas impulssTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This document describes a two-way strategy that uses the difference between each bar’s open and close to generate long and short signals. A long entry occurs when the close exceeds the open by a threshold; a short entry occurs when the open exceeds the close…

Cenas izrāviensTehniskie indikatoriRiska pārvaldībaNākotnes līgumi
Strategy library

This document describes a long-only averaging strategy for ETH perpetual futures. Its entry filter uses a 14-period RSI on a four-hour timeframe and arms an entry when RSI falls below 36. After a base order, up to five safety orders are placed at fixed…

KriptoaktīviNākotnes līgumiPerpetuālie nākotnes līgumiPozīcijas apjoma noteikšana
Strategy library

This long-entry strategy combines volume-weighted average price with a smoothed moving average. It first tracks whether price moves above VWAP while remaining below the smoothed average, requiring that this state was not already present on the prior bar. The…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

This crossover strategy uses a configurable fast and slow moving average to trade in both directions. When the fast average crosses above the slow average, it opens a long position; a cross back below closes that position. The reverse crossover opens a…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiRiska pārvaldība
Strategy library

This long-only trend-following method combines an exponential moving average with an average true range channel. It uses a short simple average of closing prices as the price series, compares it with an EMA, and sets upper and lower bands one ATR from that…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas izrāviens
Strategy library

This Bitcoin strategy combines MACD crossovers, RSI, a moving average, and Fibonacci levels to generate long or short entries. It calculates MACD from 15- and 30-period exponential averages and compares the MACD line with its signal line. RSI and the price’s…

KriptoaktīviTehniskie indikatoriCenas impulssRiska pārvaldība
Strategy library

This short-term strategy uses a fast and slow exponential moving average crossover to signal direction, with Bollinger Bands as an additional price filter. A bullish crossover can trigger a long entry when the close is below the upper band; a bearish…

KriptoaktīviIzejvielasSekošana tendenceiCenas izrāviens
Strategy library

This short-term strategy combines ADX, RSI, and Bollinger Bands to define long and short setups. It requires ADX above 32, an RSI cross back through an oversold or overbought level, and price outside the corresponding Bollinger Band. The intended logic is to…

Tehniskie indikatoriCenas impulssAtgriešanās pie vidējās vērtībasCenas izrāviens
Strategy library

This Polymarket strategy screens event contracts for liquidity, trading activity, spread, market competitiveness, and price, then scores hourly candlestick patterns such as gradual rises, growing volume, narrowing pullbacks, and breakouts. Candidates passing…

Uz notikumiem balstīta tirdzniecībaMašīnmācīšanāsTirgus noskaņojumsRiska pārvaldība
Strategy library

This strategy combines three indicators to seek upward trends supported by trading volume. ADX measures trend strength without indicating direction; the method requires it to exceed 30. TTI compares fast and slow volume weighted averages and uses its signal…

Sekošana tendenceiTehniskie indikatoriCenas impulssRiska pārvaldība
Strategy library

This trend-following strategy combines a 50-period simple moving average with fast upper and lower price thresholds derived from a weighted price calculation. The thresholds add a multiple of the calculation to moving averages of highs and lows; the…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriNākotnes līgumi
Strategy library

The strategy first applies a double exponential moving average to price, calculates RSI from that smoothed series, and compares the RSI with its own exponential moving average. An upward crossover produces a long entry and a downward crossover a short entry,…

Cenas impulssTehniskie indikatoriRiska pārvaldībaNākotnes līgumi
Strategy library

This short-term trading approach compares a fast simple moving average of price with a double-smoothed moving average. Their difference, called the Scalping Line, serves as a momentum signal: crossings of zero can trigger long or short entries. A percentage…

Cenas impulssTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This strategy combines two TRIX momentum series with price moving averages and a TRIX midline to define trend-following entries and exits. The faster price average is compared with a slower one to establish direction, while the TRIX series and its simple…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This document presents a candlestick reversal method that looks for unusually long wicks relative to candle bodies and the opposite wick. A long lower wick can signal buying pressure and a possible upward reversal; a long upper wick can indicate selling…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This document describes a dynamic grid approach for Bybit inverse contracts, configured for a coin-margined BTC/USD market. Rather than placing orders at fixed grid levels, it sets a target coin allocation that varies linearly with price between configured…

KriptoaktīviRežģa tirdzniecībaPozīcijas apjoma noteikšanaRīkojumu izpilde
Strategy library

This example builds a daily stock universe from currently tradable Shanghai and Shenzhen listings, then intersects it with the CSI 300 constituents. It ranks the remaining stocks by market value and keeps the five smallest. The selection is a small…

AkcijasFaktoru ieguldīšanaPozīcijas apjoma noteikšanaĶīnas tirgi
Strategy library

The visible portion of this strategy combines a long EMA trend direction with an ADX threshold and a specified trading session. It tracks confirmed swing highs and lows, then identifies potential liquidity sweeps when price wicks beyond a prior pivot and…

Tehniskie indikatoriRiska pārvaldībaTirgus mikrostruktūraCenas izrāviens
Strategy library

This indicator builds ZigZag pivots from changes in momentum direction rather than confirming a high or low after a fixed number of bars. Users can choose MACD crossovers, moving-average slope reversals, or QQE signals. As momentum turns, the indicator…

Cenas impulssTehniskie indikatoriNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This document describes a multi-timeframe trend method that approximates weekly exponential moving averages with longer EMA periods on a lower-timeframe chart. It uses crossovers between the mapped 42- and 84-period averages to indicate a longer-term…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This script describes a reversal strategy that treats a move beyond a recent swing level, followed by a close back inside it, as a liquidity trap. A wick-size threshold and separate cooldowns limit which bullish or bearish traps qualify. Bear traps trigger…

Tehniskie indikatoriCenas izrāviensRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This example trains a two-layer LSTM model on the logarithm of closing prices for three named NASDAQ stocks. It labels the next observed close as up or down and uses those labels as targets in a model trained with mean squared error and an LBFGS optimizer.…

AkcijasMašīnmācīšanāsStatistikaVēsturisko datu pārbaude
Strategy library

The strategy calculates a 14 period RSI from closing prices, then applies a stochastic calculation and smoothing to produce K and D lines. Its written rules describe taking a long position when K rises above 80 and a short position when K falls below 20,…

Nākotnes līgumiTehniskie indikatoriAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude