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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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Quantopian lekcijas
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Binance API docs
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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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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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Lumibot strategies
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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 combines Supertrend trend direction with the current candle’s body direction to generate entries. Supertrend bands are based on ATR; the described method enters long during an indicated uptrend when the candle closes below its open, and enters…

Nākotnes līgumiSekošana tendenceiCenas impulssCenas izrāviens
Strategy library

This strategy uses separate Supertrend calculations for long and short signals, with each direction configurable through its own ATR period and multiplier. A rate-of-change filter further qualifies signals: a long setup requires an upward Supertrend change…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This strategy pairs a weighted moving average with ADX and the positive and negative directional indicators to identify trend conditions. The WMA smooths price data, while ADX acts as a trend strength filter and the relative values of +DI and -DI indicate…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This intraday futures approach uses a 5-period and 20-period weighted moving average crossover for entries, filtered by price relative to a 50-period WMA. A long signal requires the fast average to cross above the slow average while price is above the trend…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses RSI threshold crossings to enter positions and sets stop loss and take profit levels as percentages of the average entry price. A move below the oversold level is intended to open a long position, while a move above the overbought level…

KriptoaktīviNākotnes līgumiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses 5-, 10-, and 50-period exponential moving averages to identify directional changes. It enters long when both faster averages cross above the 50-period average, and short when both cross below it. A minimum interval of 30 candles between…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines RSI levels with a moving average of RSI to generate long and short signals. It calculates RSI from recent gains and losses, then compares the indicator with a simple or exponential average. A cross above the average triggers a long…

KriptoaktīviNākotnes līgumiTehniskie indikatoriAtgriešanās pie vidējās vērtības
Strategy library

This automated system uses a 14-period RSI on closing prices. It enters long when RSI crosses above 30 and short when RSI crosses below 70, and only opens a new position when flat. For each position, it sets a fixed price-distance stop of 100 points and a…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This strategy builds a zero-lag moving average by adjusting current price with its difference from a lagged price, then applying an EMA or SMA. A score compares the resulting line with values across a lookback range, adding for higher values and subtracting…

KriptoaktīviTehniskie indikatoriSekošana tendenceiCenas izrāviens
Strategy library

This strategy offers a choice among the Hull Moving Average (HMA), its exponential variant (EHMA), and a triple Hull variant (THMA). It identifies direction by comparing the selected average with its value two bars earlier: a higher current value indicates a…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This long-only strategy for JUPUSDT perpetual futures uses a 4-hour RSI below 28 to arm an entry. It adds up to five averaging orders at fixed declines of 2%, 5%, 9.5%, 16%, and 25% from the base entry, with order sizes increasing by roughly 1.8 times per…

KriptoaktīviNākotnes līgumiPerpetuālie nākotnes līgumiAtgriešanās pie vidējās vērtības
Strategy library

This small order-placement bot waits until it can retrieve a ticker for a newly added trading pair, treating ticker availability as a sign that trading has opened. It then submits a fixed number of limit orders and exits. For buy orders, prices step down…

KriptoaktīviTūlītējo darījumu tirgiRīkojumu izpildeTirgus mikrostruktūra
Strategy library

This short-term strategy uses the SSL Hybrid indicator’s EXIT levels to generate long and short entries. A close crossing above the lower EXIT level signals a long, while a close crossing below the upper level signals a short. QQE can act as a directional…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSekošana tendencei
Strategy library

This trend-following strategy uses the Ichimoku cloud to define breakout entries. A close above the prior cloud top triggers a long, while a close below the prior cloud bottom triggers a short. The described defaults use conversion, base, and second…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This document describes a staged exit method for managing an existing position. With a 100-point initial stop and profit milestones at 100, 200, and 300 points, the stop moves to breakeven after the first milestone and to the first profit level after the…

Nākotnes līgumiRiska pārvaldībaRīkojumu izpildeVēsturisko datu pārbaude
Strategy library

This long-only strategy combines Bollinger Bands, MACD momentum, and volume confirmation. It enters when price crosses above the band midpoint with a positive, strengthening MACD histogram, or when MACD crosses above its signal line while price is above the…

Tehniskie indikatoriCenas impulssCenas izrāviensSvārstīgums
Strategy library

This long-only mean-reversion system buys when price crosses below the lower Bollinger Band, using defaults of 20 periods and two standard deviations. It permits up to two concurrent entries by default, sizes each from equity divided by the maximum trade…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This intraday strategy uses MACD crossovers filtered by threshold values to generate long and short signals. It sets an initial take-profit distance of 600 minimum ticks and stop distance of 100 ticks, then moves the stop after price advances 300 ticks from…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This strategy uses 9-period and 21-period exponential moving averages to set direction: a bullish cross can trigger a long, and a bearish cross can trigger a short. Entries are further conditioned on recent volume relative to the prior five bars, price…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas izrāviens
Strategy library

This strategy derives MACD from fast and slow moving averages, using 12 and 26 periods in the described setup, and compares the indicator with separate entry and exit thresholds. A cross above the entry threshold opens a long position; a cross above the exit…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses changes in Supertrend direction to signal long or short trades. Supertrend is based on the Average True Range, with adjustable period and multiplier settings. A volume filter requires current volume to exceed a chosen multiple of its…

AkcijasCenas impulssSekošana tendenceiTehniskie indikatori
Strategy library

This hourly Bitcoin strategy combines a 15-period and 30-period EMA spread with its 9-period EMA signal line. Long entries occur when the spread crosses upward while unusually low relative to its recent 100-bar range; short entries use the reverse crossing…

KriptoaktīviTehniskie indikatoriCenas impulssRiska pārvaldība
Strategy library

The available excerpt outlines configurable components for a trend-following strategy built around MACD. It sets fast and slow averages and a signal-line length, then offers entry controls for MACD-cross arming, a limited validity window, continuation…

Tehniskie indikatoriSekošana tendenceiCenas impulssRiska pārvaldība
Strategy library

The strategy compares a fast 10-period simple moving average with a slower 30-period average. A fast-line cross above the slow line signals a long entry, while a cross below signals a short entry. The document also describes stop-loss and take-profit levels…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori