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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 assigns each bar's volume a positive sign when the close is above the open, a negative sign when the close is below the open, and zero when they match. It sums these signed volumes over a selected window and divides by the window length to form…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This long-only accumulation strategy uses a 14-period Relative Strength Index (RSI) to identify oversold conditions. It buys when RSI is below a threshold and enough time has passed since the prior purchase; the described defaults are a threshold of 30 and a…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This strategy compares a short-period and a long-period exponential moving average (EMA) to identify trend direction. It enters long when price is above the short EMA and the short EMA exceeds the long EMA; it enters short under the inverse conditions. A…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This document describes a Directional Movement Oscillator built from the difference between smoothed positive and negative directional indicators. It computes directional movement from changes in highs and lows, normalizes each side by smoothed true range,…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
Strategy library

This strategy combines several Ichimoku signals for entries: cloud breakouts, Tenkan–Kijun crosses, cloud twists, and moves from one cloud edge toward the other. It also describes Kijun bounce entries. Exits may occur when price returns into the cloud or an…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses the VIX as a market stress gauge to time purchases of SPXL, a leveraged equity ETF. It distinguishes panic and extreme VIX levels, tracks whether volatility has fallen from a recent peak, and includes a rule to wait for several consecutive…

AkcijasSvārstīgumsTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses a short-lookback RSI to identify extreme readings, then enters when RSI crosses back through an oversold or overbought threshold. A fast and slow moving average filter gates long and short entries, while opposite RSI threshold crossings…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This short-term strategy uses four exponential moving averages for long-only trading. A crossover of the 9-period EMA above the 26-period EMA triggers an entry; a separate crossover, when the 100-period EMA falls below the 55-period EMA, closes the position.…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This Pine Script library provides reusable calculations for strategy position analysis. Its helpers convert a percentage of a reference price into ticks, calculate a price at a percentage distance from a reference, and express a percentage of price as an…

Tehniskie indikatoriRiska pārvaldībaRīkojumu izpilde
Strategy library

This strategy combines a MACD crossover with the direction of a Supertrend calculation. It opens a long position only when the MACD line crosses above its signal line while Supertrend indicates an upward trend. The document describes a 20-period ATR-based…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This trend-following system enters when a fast Hull moving average crosses a slower one and a second-change measure of the fast average confirms acceleration in the same direction. It uses ATR to set stop distances and calculate position size from a chosen…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This reversal strategy compares price swings with RSI swings. A price high that is not matched by a higher RSI high is treated as bearish divergence; a price low without a corresponding lower RSI low is treated as bullish divergence. Fractal-style local…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldībaCenas izrāviens
Strategy library

This automated strategy uses the Kronos financial time-series model to forecast a future price distribution. It compares the forecast median with the current price to decide whether the projected opportunity is large enough to trade, while the lower and…

MašīnmācīšanāsSekošana tendenceiRiska pārvaldībaRīkojumu izpilde
Strategy library

This trend-following system combines Supertrend with a long-period double exponential moving average (DEMA). It enters long when price crosses above Supertrend while closing above DEMA, and enters short when price crosses below Supertrend while closing below…

Sekošana tendenceiTehniskie indikatoriCenas izrāviensKriptoaktīvi
Strategy library

This strategy combines trend, momentum, and volatility indicators to generate long and short signals. A short EMA above or below a long EMA sets the trend direction, MACD relative to its signal line confirms momentum, and RSI thresholds filter entries. ATR…

Tehniskie indikatoriCenas impulssSekošana tendenceiRiska pārvaldība
Strategy library

This trend-following design confirms direction on a one-hour chart and seeks entries on a 15-minute chart. On each timeframe, a 9-period simple moving average is compared with a 21-period average, while RSI filters signals near overbought or oversold…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This BTC/USDT strategy uses a 14-period Relative Strength Index with oversold and overbought reference levels of 30 and 70. It opens a long position when RSI crosses upward through the oversold level and opens a short position when RSI crosses downward…

KriptoaktīviNākotnes līgumiTehniskie indikatoriAtgriešanās pie vidējās vērtības
Strategy library

This document outlines an automated system that uses a large language model to produce entry, hold, or close decisions for multiple cryptocurrency perpetual futures. Its pipeline collects market and account data, calculates indicators across short and long…

KriptoaktīviPerpetuālie nākotnes līgumiMašīnmācīšanāsRīkojumu izpilde
Strategy library

This strategy combines a stochastic-based 123 reversal signal with directional movement and moving average crossovers. It takes a long or short position only when the reversal signal and the DMI-plus-MA component agree; otherwise, it closes the position. The…

Tehniskie indikatoriSekošana tendenceiAtgriešanās pie vidējās vērtībasNākotnes līgumi
Strategy library

This short-term strategy combines a fast and a slower simple moving average crossover with a longer moving average filter and Bollinger Bands. A long setup requires the faster average to cross upward through the slower one, price to remain above the longer…

Tehniskie indikatoriOpcijasSvārstīgumsRiska pārvaldība
Strategy library

This strategy uses a Hull moving average, or its exponential and triangular variants, to identify direction from the relationship between the current line and its recent value. Entries occur when that relationship crosses, subject to a user-selected trading…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaNākotnes līgumi
Strategy library

This strategy uses repeated swing formations to identify possible turning points, then trades breaks of the resulting fractal levels. Its rules describe top and bottom patterns built from neighboring bars: a local high or low is established by comparing the…

Cenas izrāviensTehniskie indikatoriNākotnes līgumiKriptoaktīvi
Strategy library

This Pine strategy builds a long position after a bullish reversal bar: the close must be above the bar midpoint, and the low must match the lowest low over a configurable lookback. It can add up to four position layers as price falls through percentage…

Tehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy combines a cumulative high-low measure, aligned moving averages, and Supertrend to generate directional entries. The high-low component tracks whether price reaches a period high or low; the moving-average component scores price and averages…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori