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Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

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 combines a Vegas-style channel, built from a moving average and standard deviation, with SuperTrend trend detection based on ATR. Its stated design adjusts the SuperTrend multiplier according to channel width, aiming to adapt trend sensitivity…

Nākotnes līgumiKriptoaktīviSekošana tendenceiSvārstīgums
Strategy library

This strategy pairs Bollinger Bands with RSI to identify possible reversals and uses an optional long-term EMA to filter trades by trend direction. Traders can choose long-only, short-only, or two-sided operation and select either a band-touch entry or a…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasSvārstīgumsRiska pārvaldība
Strategy library

This document explains a rolling linear-regression channel built from recent closing prices. A least-squares line estimates the central path, and bands are placed above and below it using multiples of the residual standard deviation. The strategy uses price…

Tehniskie indikatoriStatistikaCenas izrāviensAtgriešanās pie vidējās vērtības
Strategy library

This TradingView strategy script combines candlestick shape rules with exponential moving averages and nearby round-number levels. Its inputs let users adjust the pin-bar tail proportion, two EMA lengths, the minimum distance from a round level, and price…

Tehniskie indikatoriValūtu tirgus
Strategy library

This document describes a strategy that detects bullish and bearish fair value gaps from three-candle price relationships. It counts gaps over a rolling 50-period window and normalizes gap widths for display. A signal is verified when the gap coincides with…

Tehniskie indikatoriStatistikaRiska pārvaldībaRīkojumu izpilde
Strategy library

This document presents a medium-term trend strategy that combines fast and slow moving averages, a price-channel midpoint, and consecutive candle colors. It describes using the channel midpoint to classify trend direction, then seeking long or short entries…

Sekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
Strategy library

This strategy pairs a Hull moving-average trend filter with Stochastic RSI timing signals. It uses a Hull middle line and offset bands to characterize direction, then looks for oscillator crosses in extreme zones: the intended rules combine an upward Hull…

Tehniskie indikatoriCenas impulssNākotnes līgumiKriptoaktīvi
Strategy library

This example shows a Hummingbot controller that periodically creates a market order for a configured trading pair. It reads the mid-price and counts active executors, then submits a new order only when no executor is active and the configured interval has…

Rīkojumu izpildeKriptoaktīviPerpetuālie nākotnes līgumi
Strategy library

This strategy looks for volatility expansion after a period of contraction. It defines a squeeze as Bollinger Band width falling below a fraction of its recent average, then watches for price to cross beyond the upper or lower band. A breakout entry requires…

Cenas izrāviensSvārstīgumsTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines moving average trend filters with short-term momentum checks. It identifies bullish conditions when the 10-period EMA is above the 20-period EMA and price is above the 50-period EMA; bearish conditions use the opposite relationships. A…

Sekošana tendenceiCenas impulssTehniskie indikatoriRiska pārvaldība
Strategy library

This example demonstrates how to construct and trade a long strangle and its inverse using an options strategy helper. It sorts available contracts by proximity to the underlying price and expiration, then selects a call and put from a shared expiration,…

OpcijasAtvasināto instrumentu cenu noteikšanaRīkojumu izpilde
Strategy library

This strategy seeks reversals after price moves away from moving-average reference levels. Separate long and short entry averages are shifted to define potential entry prices, while a closing average provides an exit level. The description also assigns a…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriNākotnes līgumiKriptoaktīvi
Strategy library

This strategy enters a long position when a candle occurs at 16:00, then places a take-profit limit and stop-loss based on percentages of the entry price. Position sizing is described as a fixed share of available equity, though the source code calculates a…

Nākotnes līgumiKriptoaktīviRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This strategy attempts to identify more significant swing highs and lows by checking candidate pivots against neighboring bars and an ATR-based tolerance. The number of bars checked on each side and the ATR multiplier determine how selective the filter is.…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasSvārstīgums
Strategy library

This swing strategy combines a Hull moving average, exponential moving averages, and RSI. The Hull calculation supplies the directional filter: a rising condition permits long setups, while the opposite condition permits short setups. Entries use price…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriCenas impulss
Strategy library

The strategy calculates a MACD line as the difference between fast and slow exponential moving averages, then smooths that line with another exponential moving average to form a signal line. It enters long when the MACD line crosses above the signal line and…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas impulss
Strategy library

This strategy requires several short-term signals to agree before entering a trade. It combines a short and long EMA crossover with RSI momentum confirmation, current volume above its recent average, and a price-pattern test comparing recent highs or lows…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This strategy combines RSI thresholds with the direction of a moving average calculated from RSI to generate long and short entries. It enters long when RSI is above its stated upper threshold and the RSI-based average is rising, and enters short when RSI is…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This strategy uses gaps between a bar’s high or low and prices from two bars earlier to identify bullish or bearish setups. A bullish setup enters long when the current low and close are above the earlier high; a bearish setup enters short when the current…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

This strategy description uses moving-average relationships to identify possible trend changes. Shorter-horizon signals come from crossings between simple and weighted averages, while longer-horizon averages are presented as a broader trend check. The text…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

The described system uses a fast and slow double exponential moving average (DEMA) pair to follow trends, with the faster line crossing above or below the slower line to indicate direction. A Hull moving average filter is intended to screen signals unless it…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This script looks for possible reversals using candle shapes it labels as hammer-like or stick-like, together with the colors and relative highs, lows, opens, and closes of neighboring bars. Long entries require a bullish pattern while price is above a…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasSvārstīgumsRiska pārvaldība
Strategy library

This intraday continuation strategy combines MACD signals from short and higher timeframes with a 200-period exponential moving average. It seeks long entries when the lower-timeframe MACD crosses upward in positive territory, the higher-timeframe MACD is…

KriptoaktīviTūlītējo darījumu tirgiCenas impulssTehniskie indikatori
Strategy library

This strategy combines Fibonacci retracement levels with a swing-based trailing stop to generate long entries and exits. It calculates retracement prices from the highest high and lowest low over a lookback range, then tracks swing highs and lows to set the…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori