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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
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
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

The strategy combines a long-term EMA with a short-term EMA to enter long positions on a pullback. It requires the close to be above the long EMA but below the short EMA, with no open position. The supplied defaults are 75 periods for the long EMA and 9 for…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses an EMA as the middle of a Keltner Channel and sets the upper and lower bands by adding or subtracting a multiple of ATR. It opens a long position when the close falls below the lower band, then exits when the open is above the upper band.…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSvārstīgums
Strategy library

This script trades both directions using a crossover between a 5-period and a 13-period exponential moving average of closing prices. When the faster EMA crosses above the slower EMA, it closes any short position and enters long. When the faster EMA crosses…

Sekošana tendenceiTehniskie indikatoriCenas impulss
Strategy library

This long-only strategy combines trend strength, directional movement, and momentum on hourly candles. It calculates ADX with a 14-period setting, plus and minus directional indicators with 25-period settings, and 14-period momentum. A long entry requires…

Sekošana tendenceiCenas impulssTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses a short and long EMA crossover to signal long and short positions, with default lengths of 9 and 21 periods. After entry, it tracks the favorable price extreme and places a trailing stop a configurable percentage away. The document also…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This ETH futures strategy combines SSL-style moving-average channels with Stochastic RSI. It defines a baseline and separate continuation and exit channels, with selectable moving-average types and configurable lengths. Long entries require price to cross…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriCenas impulss
Strategy library

This BTC futures strategy uses 38-period and 62-period exponential moving averages to define trend direction. When the faster average is above the slower one, a long setup occurs as price crosses back above the fast average; the reverse condition defines a…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses separate EMA pairs for long and short entries and exits, with long-term EMA filters to gate entries. A bullish crossover of the long-entry pair can open a long when price is above its long-term EMA; a bearish crossover of the short-entry…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This strategy uses the midpoint of the highest and lowest closing prices over a 30-bar window as a channel center, then classifies trend from price lows or highs relative to that level. In an uptrend it can signal short entries on bearish candles; in a…

Nākotnes līgumiTehniskie indikatoriAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude
Strategy library

This script outlines a trend-following strategy for Solana that combines Supertrend direction, an ADX threshold, and Heikin-Ashi candle direction. It opens a long position when Supertrend indicates an uptrend, ADX exceeds its configured minimum, and the…

KriptoaktīviSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines five simple moving averages with a stochastic oscillator to generate long and short signals on BTC futures. A long entry requires the 10-period average to cross above both the 5- and 6-period averages while %K crosses above %D. A short…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSekošana tendencei
Strategy library

This framework separates broad market direction from trade timing. It estimates the higher-timeframe trend with an exponential moving average (EMA), then looks for fast and slow EMA crossovers on the chart timeframe in the same direction. Long entries…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy combines a price momentum condition with a SuperTrend direction change to qualify entries. Momentum is measured as the difference between the current price and its value at a prior lookback, then checked for positive or negative change over one…

Tehniskie indikatoriCenas impulssSekošana tendenceiNākotnes līgumi
Strategy library

This daily-chart strategy uses the KDJ oscillator to open long positions when its J component is above both K and D, and it does not initiate short trades. At entry, it calculates position quantity from a stated risk allocation and places a stop at a…

Tehniskie indikatoriCenas impulssRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This document describes an EMA-based trend indicator that plots several moving averages with different lookback periods. The accompanying code defines a bullish trend around the shortest EMA crossing above the longest and a bearish trend around the reverse…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This strategy uses average true range (ATR) to decide whether volatility is elevated and the relative strength index (RSI) to choose directional entries. When flat, it compares the latest ATR with an average of recent ATR values; if ATR is higher, an RSI…

Tehniskie indikatoriSvārstīgumsCenas impulssRiska pārvaldība
Strategy library

The strategy description presents a combination of exponential moving averages, Bollinger Bands, and MACD. It outlines short, medium, and long EMA calculations, volatility bands based on a rolling price standard deviation, and MACD settings. The stated idea…

Tehniskie indikatoriCenas impulssSvārstīgumsNākotnes līgumi
Strategy library

This long-oriented strategy combines a 200-day simple moving average for broad market direction with a 20-day exponential moving average, MACD, and Ichimoku cloud conditions for entries and exits. In the described logic, signals require agreement among…

Tehniskie indikatoriSekošana tendenceiCenas impulssNākotnes līgumi
Strategy library

This strategy uses a fast and a slow moving average to generate directional signals when they cross. It allows users to choose from several moving average types and set separate timeframes and lengths. The fast average is intended to use the chart timeframe…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This long-only averaging strategy for POL perpetuals arms an entry when the 4-hour RSI falls below a configured oversold threshold. After a base order, it places five additional orders at fixed percentage declines from the base entry, with order sizes…

KriptoaktīviPerpetuālie nākotnes līgumiAtgriešanās pie vidējās vērtībasPozīcijas apjoma noteikšana
Strategy library

This trend-following method uses ATR to create upper and lower SuperTrend bands around a chosen price source. Its trend state changes when price crosses the prior band: a move above the upper boundary signals an uptrend and a buy, while a move below the…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsKriptoaktīvi
Strategy library

This long-only trend-following system uses the Williams Alligator’s smoothed moving averages, calculated from the midpoint of each bar’s high and low. It enters when the shorter Lips line crosses above the longer Jaw line, and exits when Lips crosses back…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This XAUUSD strategy combines a 100-period simple moving average (SMA) trend filter with a crossover between 15- and 45-period SMAs for entry timing. Long entries require price above the trend SMA and a fast-SMA crossover above the slow SMA; shorts use the…

IzejvielasSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This strategy seeks continuation trades after a strong directional candle, defined by its body exceeding a multiple of the 14-period Average True Range. It records that candle’s extreme and waits for a pullback that holds above the low for a bullish move or…

Sekošana tendenceiCenas izrāviensSvārstīgumsRiska pārvaldība