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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)
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 trend-following strategy combines 66- and 85-period simple moving averages, engulfing-candle conditions, and breaks of recent swing highs or lows. Price above both averages defines a bullish context, while price below both defines a bearish one. The…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This long-only strategy seeks pullbacks within an established rising trend. It uses a stack of short, medium, and longer exponential moving averages, requires a sustained run of closes above the medium average, and checks that a minimum share of recent…

AkcijasSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This document describes a robot that receives TradingView alert commands and routes them to exchange orders. It parses action-and-amount messages and supports spot buys and sells, plus futures long, short, and position-closing commands. A futures…

KriptoaktīviNākotnes līgumiTūlītējo darījumu tirgiRīkojumu izpilde
Strategy library

This indicator estimates broad market direction and relative strength using smoothed Heikin-Ashi values. It first smooths open, high, low, and close with exponential averages, constructs Heikin-Ashi values, then smooths those values again. The difference…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiStatistika
Strategy library

This strategy seeks pullback entries in an established trend by combining price position, moving-average alignment, and slope checks. Long conditions require price above the 20- and 200-period SMAs, the 20-period average above the 200-period average, and…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines a fast and slow simple moving average crossover with volatility-based exits. A move of the fast average above the slow average signals a long entry; a move below signals a short entry. Signals are allowed only during the European…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

The Follow the Bear concept seeks short entries in EUR/USD during the European session, based on the hypothesis that early-session buyers may become trapped when an advance stalls. Its described signal uses a bearish hourly candle that closes in the lower…

Valūtu tirgusAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy identifies market-structure breaks using confirmed swing highs and lows, then looks for a fair value gap (FVG) in the same direction. A candidate gap must meet minimum size and displacement-body thresholds relative to ATR. The script stores the…

Cenas izrāviensTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This strategy combines signals from three chart intervals: a one-hour trend bias based on price relative to a 50-period moving average, a fifteen-minute MACD crossover for momentum, and five-minute ATR and price-gap observations to refine entries. The…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

This Bitcoin futures strategy combines a long-term exponential moving average with a price-channel breakout condition. Long entries require the prior close to be above a 240-period EMA and a bullish range expansion beyond the upper channel; short entries…

Nākotnes līgumiCenas izrāviensSekošana tendenceiTehniskie indikatori
Strategy library

This short-term crypto strategy combines a 13-period EMA crossover with a candle-color confirmation, an ADX trend-strength threshold, and a volume spike filter. It takes long or short entries when price crosses the EMA, the confirming candle closes in the…

KriptoaktīviCenas impulssTehniskie indikatoriSvārstīgums
Strategy library

This strategy pairs a medium-term trend filter with short-term Stochastic RSI reversal signals. It treats the 50-period EMA above the 200-period EMA as a bullish regime and the reverse as bearish. In a bullish regime, price must pull below the faster EMA and…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasSekošana tendenceiRiska pārvaldība
Strategy library

This strategy combines a Keltner Channel with RSI to define entries and exits. It sets the channel around a twenty-period EMA, with bands offset by one and a half times a ten-period ATR, and uses a fourteen-period RSI with thresholds of thirty and seventy.…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriSvārstīgums
Strategy library

The document describes a crossover strategy using simple moving averages with periods of nine and twenty-one. A cross above the slower average triggers a long entry, and a cross below triggers a short entry. Its proposed sizing rule risks one percent of…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This intraday equity strategy selects candidates with a pipeline, then looks for stocks that open below the previous day’s low by more than a volatility measure and below their moving average. It ranks qualifying stocks by that measure and keeps up to ten.…

AkcijasAtgriešanās pie vidējās vērtībasSvārstīgumsRīkojumu izpilde
Strategy library

This strategy combines Bollinger Bands, RSI, ADX, and MACD with a session filter to identify potential directional trades. The description presents the bands as a measure of price range, RSI as an overbought or oversold filter, ADX as a trend-strength check,…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This script combines the direction of a Hull moving average with RSI pullbacks. When the Hull average is rising, an RSI cross below its lower trigger can open a long; when it is falling, an RSI cross above its upper trigger can open a short. It allows one…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This strategy uses a 12-period EMA crossing a 26-period EMA to signal long entries and short entries. It places a profit target 8% from the average entry price and a stop 2.5% away, reversing the direction of those levels for shorts. An opposite crossover…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy example shows how to set an initial stop from the entry candle’s close minus twice the ATR, then use the distance from entry to that stop as the unit of risk. A configurable risk-reward multiple defines a price threshold for moving the stop to…

Riska pārvaldībaTehniskie indikatoriSvārstīgums
Strategy library

The strategy combines fast, average, and slow weighted moving averages with an ADX trend-strength filter. A potential long setup occurs when price probes below the slow average and closes back above it; the close must also be above the fast average. Entry…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsRiska pārvaldība
Strategy library

This strategy concept looks for a price wick that moves beyond a confirmed recent swing high or low and then closes back inside the level. It adds an absorption condition: elevated participation on the sweep bar and a close back toward the opposite end of…

Tirgus mikrostruktūraNākotnes līgumiValūtu tirgusIzejvielas
Strategy library

This strategy uses 16-, 36-, and 72-period simple moving averages to identify directional alignment: the shortest average crossing above the other two supports a long signal, while crossing below them supports a short signal. A Kaufman Adaptive Moving…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This document describes a short-term strategy that requires agreement across five filters before entering a trade: price relative to a 50-period simple moving average, RSI momentum, above-average volume, a minimum ATR level, and a candlestick pattern. Long…

Tehniskie indikatoriCenas impulssSvārstīgumsRiska pārvaldība
Strategy library

This BTCUSDT strategy uses four exponential moving averages for trend context, entries, and exits. The 50 EMA relative to the 200 EMA defines the broad bullish or bearish bias. Within that bias, a crossover of the 7 EMA and 21 EMA triggers a long or short…

KriptoaktīviSekošana tendenceiTehniskie indikatoriCenas impulss