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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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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 long-only dollar-cost-averaging framework uses a lower-timeframe RSI filter for both initial entries and additional buys. A base order is triggered when RSI crosses below 30; each safety order requires RSI below 25. The design allows four averaging…

KriptoaktīviAtgriešanās pie vidējās vērtībasPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This strategy description uses Bollinger Bands to generate long and short signals: a close at or below the lower band prompts a long entry, while a close at or above the upper band prompts a short entry. The bands are built from a 20-period simple moving…

Tehniskie indikatoriCenas izrāviensNākotnes līgumiRiska pārvaldība
Strategy library

This Freqtrade strategy combines a 14-period RSI with 20-period Bollinger Bands calculated from typical price using two standard deviations. It enters long when RSI is below 30 and the close is beneath the lower band, then signals an exit when RSI rises…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

This strategy builds Bollinger Bands around a 34-period simple moving average, displaying inner bands at one standard deviation and outer bands at two standard deviations. It enters long when the close rises above the outer upper band and short when it falls…

KriptoaktīviNākotnes līgumiCenas izrāviensSvārstīgums
Strategy library

This system uses two configurable moving averages to generate crossover signals, with current volume compared against a volume moving average as confirmation. Users can choose simple, exponential, or weighted moving averages; the published defaults are 9 and…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This futures strategy computes a running Volume Price Trend (VPT) value by adding volume weighted by each bar’s percentage price change. It compares the latest VPT with its 14-period average and checks whether current volume exceeds the preceding 14 bars’…

Nākotnes līgumiIzejvielasCenas impulssTehniskie indikatori
Strategy library

This one-minute gold strategy uses Heikin-Ashi-style price inputs, candle strength, a 20-period simple moving average, and ATR to filter entries. It enters long when price is above the average and the candle body is strong, or short when price is below the…

IzejvielasSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This document outlines a simple spot-market copy-trading bot that monitors a designated reference exchange account and sends corresponding trades to one or more follower accounts. It requires at least two exchange connections, checks that the reference and…

KriptoaktīviTūlītējo darījumu tirgiRīkojumu izpilde
Strategy library

This strategy combines a longer-term moving average comparison with RSI thresholds to seek pullbacks within the prevailing trend. It describes a 30-period simple moving average and a 200-period exponential moving average as a direction filter, then uses a…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This document describes a trend-following strategy that compares a faster and a slower triple exponential moving average (TEMA). Each TEMA is formed from three successive exponential moving averages, combined to respond more quickly to price changes than a…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines smoothed rates of change from several lookback periods into a weighted oscillator. Longer lookbacks receive greater weights, so the resulting measure blends shorter-term and longer-term momentum. The described signal rule takes a long…

Cenas impulssTehniskie indikatoriNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This strategy identifies higher lows and lower highs, then assigns each confirmed pattern a score using volume, RSI, candle-body size, and moving-average alignment. Trades are restricted to signals scoring at least four points. Stops are set at the lowest…

Tehniskie indikatoriStatistikaRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This script describes a moving-average crossover approach for VN30 futures. It uses a fast and a slow simple moving average to generate bullish and bearish crossover signals, with entries intended for the next bar after the signal bar closes. An optional…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy compares smoothed slopes of a fast and slow moving average to follow directional trends. It calculates the percentage change in each average, smooths those slope series, and takes long or short exposure when the fast slope is above or below the…

KriptoaktīviSekošana tendenceiTehniskie indikatoriNākotnes līgumi
Strategy library

This simple moving-average system enters a long position when price crosses above a 21-period SMA and closes it when price crosses below. It also calculates 50-period and 200-period SMAs as broader trend references, although the described entry and exit…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasAkcijasNākotnes līgumi
Strategy library

This overview describes a Turtle-style trend-following system built around Donchian channel breakouts. A move above the channel's recent high triggers an initial long position, while a move below its recent low triggers a short. The system estimates…

Sekošana tendenceiCenas izrāviensPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This trend-following method uses a 15-period SMA to define market direction and crossovers between 9- and 21-period EMAs to generate candidate entries. Long trades require the faster EMA to cross above the slower one, price and both EMAs to be above the SMA,…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy combines a 34-period EMA channel and an 89-period Hull moving average for trend context, MACD histogram behavior for momentum, and swing levels for support and resistance. Pin Bar and Fakey patterns serve as entry triggers, with the stated aim…

Tehniskie indikatoriSekošana tendenceiCenas impulssCenas izrāviens
Strategy library

This strategy uses 20- and 50-day EMA crossovers to set direction, then scores each prospective trade with trend alignment, MACD histogram, RSI, and volume conditions. A threshold determines whether to enter: the balanced setting requires three points, while…

Sekošana tendenceiTehniskie indikatoriCenas impulssRiska pārvaldība
Strategy library

This strategy identifies bullish and bearish fair value gaps from three-candle price relationships. A bullish gap forms when the current low is above the high from two candles earlier and the middle candle closes above that earlier high; the bearish…

Nākotnes līgumiTehniskie indikatoriCenas izrāviensRiska pārvaldība
Strategy library

This script outlines a breakout approach that compares price with the previous lookback period’s high and low. It defines consolidation through the width of that earlier range relative to price, then identifies an upward breakout when the close exceeds the…

Cenas izrāviensTehniskie indikatoriTirgus mikrostruktūraRiska pārvaldība
Strategy library

This intraday strategy seeks directional breakouts using several confirming indicators. A long signal occurs when price closes above the upper Bollinger Band after the prior close was inside it; a short signal mirrors this at the lower band. RSI thresholds,…

Cenas impulssCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This trend-following system combines a 10-period EMA and a 22-period EMA with a 200-period smoothed moving average (SMMA) filter. It signals a long when the short EMA crosses above the long EMA and price is above the SMMA; a short signal requires a downward…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
Strategy library

This strategy uses the directional movement indicator to seek possible market turns. It proposes a long entry when +DI falls below 10 while -DI rises above 40, and a short entry when -DI falls below 10 while +DI rises above 40. Both DI calculations use a…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasOpcijasRiska pārvaldība