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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
Dokumentu skaits: 164
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)
Dokumentu skaits: 132
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 an ATR-based trailing stop with price signals around an EMA. It calculates a stop distance from ATR multiplied by a sensitivity factor, then moves the stop according to price action: the stop remains in place while price stays on the…

KriptoaktīviNākotnes līgumiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy places a baseline moving average inside percentage envelopes and stages entries at several distances from that average. It supports multiple moving average types and can enable long and short positions. The code places limit orders near the…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This document presents a Bitcoin trend-following strategy using Donchian channels, an exponential moving average filter, and an ATR-based trailing stop. It signals long entries when price closes above a prior high channel and short entries below a prior low…

KriptoaktīviSekošana tendenceiCenas izrāviensSvārstīgums
Strategy library

This model applies a short-period Relative Strength Index to the civilian unemployment rate and smooths that RSI with an exponential moving average. When the smoothed value crosses above a trigger level, the script enters a long state; a cross below triggers…

StatistikaCenas impulssTehniskie indikatori
Strategy library

This strategy constructs smoothed, color-coded candles from open, high, low, and close data, then marks transitions between bullish and bearish states. A transition becomes a signal only when the color candle's body exceeds a threshold tied to its own range.…

SvārstīgumsTehniskie indikatoriCenas izrāviensRiska pārvaldība
Strategy library

This strategy combines short- and longer-period exponential moving averages with RSI conditions to identify directional momentum. A long signal requires the faster EMA to be above the slower EMA in both pairs, RSI to exceed 50 and its own average, and the…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

This TradingView strategy looks for possible reversals near recent pivot support and resistance. It combines pivot levels with an ATR distance test, a volume spike relative to a moving average, and a simple candle direction or prior-bar break as the price…

Tehniskie indikatoriSvārstīgumsPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This strategy follows trends using a 50-period EMA and a 100-period SMA. An upward crossover triggers a long entry, while a downward crossover triggers a short entry. RSI with a 14-period lookback provides additional exits: readings above 70 close longs, and…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy pairs a 9-period EMA with a 21-period EMA and uses RSI as a confirmation filter. A bullish crossover with RSI above 30 triggers a long entry; a bearish crossover with RSI below 30 triggers a short entry. The described exits close longs when the…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This counter-trend strategy looks for possible reversals after consecutive rising or falling bars. It can optionally require rising volume and confirmation from a channel boundary, with a choice between Bollinger Bands and Keltner Channels. Signals are…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriKriptoaktīviNākotnes līgumi
Strategy library

This document introduces a configurable trading strategy that combines a Follow Line indicator with Schaff Trend Cycle (STC), MACD, and EMA confirmations. The visible settings allow users to choose loose, balanced, or strict entry modes and adjust indicator…

Tehniskie indikatoriSekošana tendenceiCenas impulss
Strategy library

This trend-following system combines 7- and 90-period EMAs for direction, MACD crossovers for entry confirmation, and 8-hour EMA and volume conditions as a higher-timeframe filter. It uses the ratio of EMA separation to ATR to estimate trend strength and…

KriptoaktīviSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses four exponential moving averages (EMAs) with default periods of 8, 13, 21, and 55 to identify possible trend changes. It opens a long position when the 55-period EMA is below all three shorter EMAs, and closes long positions when it rises…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This trading-bot description uses the relationship between 12-period and 26-period exponential moving averages to set direction: it enters long when the shorter average moves above the longer one and short when it moves below. It presents average true range…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This document outlines a simple recurring Bitcoin purchase simulation. At each fixed interval, it spends a preset amount of currency to buy BTC at the observed latest price, accumulates the purchased quantity, and compares the holding’s current market value…

KriptoaktīviTūlītējo darījumu tirgiVēsturisko datu pārbaudePortfeļa veidošana
Strategy library

This MetaTrader expert advisor combines linear regression candles with UT Bot alerts. A long setup requires the previous candle’s regression close to be above both its open and signal line, plus a bullish UT Bot alert among the recent bars. The short setup…

Valūtu tirgusSekošana tendenceiRežģa tirdzniecībaTehniskie indikatori
Strategy library

This document outlines a moving-average trend-following system that generates a long entry when a short simple moving average crosses above a longer one, and closes the long when it crosses back below. The stated defaults are five and twenty-one periods. It…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy looks for a possible reversal after a candle has unusually high volume and the following candle’s volume falls. It compares the close before the high-volume bar with a simple moving average to infer the prior direction, then signals against…

Atgriešanās pie vidējās vērtībasStatistikaTehniskie indikatoriRīkojumu izpilde
Strategy library

The article presents a Stochastic-based approach for call and put trades, using oversold and overbought zones to identify possible turning points. Its written rules specify a 14-period %K and a 3-period moving average for %D: a bullish crossover below 20…

OpcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

This strategy varies the RSI lookback length according to the rolling correlation between price and price momentum. The length is bounded by user-selected minimum and maximum values: stronger positive correlation moves it toward the minimum, while negative…

Cenas impulssTehniskie indikatoriStatistikaVēsturisko datu pārbaude
Strategy library

This document describes a general-purpose strategy backtest template designed to accept user-defined long and short signals and directional filters. The framework handles common testing mechanics, including fixed, trailing, or breakeven exits; session and…

Vēsturisko datu pārbaudeRīkojumu izpildeRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This document describes a Turtle-style trend-following system that enters on breakouts of recent highs or lows. Entry and exit channels use configurable lookback periods; the example settings use 20 bars for entry and 10 for exit. Orders are placed at the…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

This strategy combines MACD direction with Stochastic crosses to time entries. It goes long when MACD is above its signal line and %K crosses above 30, and short when MACD is below its signal line and %K crosses below 70. The stated defaults include MACD…

Nākotnes līgumiCenas izrāviensCenas impulssTehniskie indikatori
Strategy library

This trend-following method combines a fast EMA and a slow EMA with Supertrend, which is calculated using ATR. A long signal requires the fast average to cross above the slow average while Supertrend indicates an uptrend. A short signal requires a downward…

KriptoaktīviSekošana tendenceiCenas impulssTehniskie indikatori