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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 trend-following setup combines Supertrend direction on a shorter and a longer timeframe with StochRSI extremes. The stated defaults use 1-hour and 4-hour Supertrends. The strategy looks for both to agree on direction, then checks whether a StochRSI…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This Lean example demonstrates how to implement a custom simple moving average as a Python indicator and connect it to built-in indicators through extension helpers. The custom indicator maintains a fixed-length queue of recent input values, updates its…

AkcijasTehniskie indikatoriStatistika
Strategy library

The strategy compares calculated trends across several timeframes, from 15 minutes through daily, using a collection of smoothed averages and oscillators. It describes a signal when the shorter timeframe reverses while longer timeframes have not, with trend…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses three simple moving averages to generate directional trades: a crossover between short and long averages supplies the signal, while a third average filters trades according to the broader trend. It includes percentage based stop-loss and…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This BTC futures strategy uses a T3 moving average as a broad trend filter, a price-range breakout signal, and a momentum confirmation. A long signal occurs when price crosses above a threshold based on the recent high and average high-low range, TDFI is…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This document sketches a periodic stock-selection and execution process focused on the five smallest companies by market capitalization in the CSI 300 universe. On the first incoming market bar, the strategy selects the target basket and compares it with…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
Strategy library

This BTC futures strategy combines fast and slow VWAP based trend lines with a breakout and volume confirmation. It builds the trend lines from VWAP calculations and rolling high-low midpoints, then derives Bollinger Bands from the average of the fast and…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This long-only strategy combines short-term RSI mean reversion with a 200-period simple moving average trend mode. When price is below the average, RSI below 20 can trigger a countertrend entry, sized with a configurable mean-reversion factor. When price is…

Atgriešanās pie vidējās vērtībasSekošana tendenceiTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This strategy description combines Hull moving averages, RSI, the Chande Momentum Oscillator, recent price highs and lows, and ATR-based bands. The narrative presents RSI and CMO thresholds as momentum confirmation and describes trend changes when price…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

The traffic-light strategy uses three shorter exponential moving averages to assess directional alignment, plus a longer-period EMA as a market filter. The stated defaults are 8, 14, and 16 periods for the fast, medium, and slow lines, with a 100-period…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This short-term strategy compares three moving averages intended to reduce lag. Its stated setup uses fast, medium, and slow lines with periods of 12, 26, and 55. Entries depend on a crossover between the fast and slow lines, conditioned on the fast line's…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses an Alpha Trend indicator to generate directional signals. A crossover of the indicator with its value from two bars earlier triggers a long or short entry. The published description relates the indicator to trend direction and describes…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines five-wave Elliott pattern rules with a 200-day simple moving average filter. It looks for rising highs across the first, third, and fifth waves and specified higher corrective lows to identify a bullish pattern; the bearish rules…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This document describes a mean-reversion approach that uses RSI extremes to enter long and short positions. It treats RSI below 30 as oversold and above 70 as overbought, buying in the lower zone and selling short in the upper zone. The accompanying source…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasNākotnes līgumiRiska pārvaldība
Strategy library

This strategy combines the Stochastic Slow oscillator with RSI to seek reversal entries when both indicators show an extreme reading. It uses a 14-period lookback for each, smooths Stochastic %K and %D with 3-period settings, and sets overbought and oversold…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This strategy uses a fast and a slow weighted moving average, with the fast period set to half the slow period, to frame directional signals. It also derives a momentum measure from the difference between the averages and compares smoothed values across…

Tehniskie indikatoriCenas impulssSekošana tendenceiKriptoaktīvi
Strategy library

This simple long-only approach measures percentage price change over a selected lookback period and buys when the decline exceeds a chosen threshold. After entry, it sets stop-loss and take-profit levels relative to the average entry price. The document also…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

This script derives a central pivot and Fibonacci-scaled support and resistance levels from daily high, low, and close values. It looks for rejection moves at selected levels: longs when price recovers above support, and shorts when price falls back below…

Tehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšanaVēsturisko datu pārbaude
Strategy library

This strategy combines 2-, 7-, and 14-period RSI readings to identify unusually oversold or overbought conditions. It enters long when all three readings fall below their respective thresholds and short when all rise above theirs. An accuracy setting adjusts…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasKriptoaktīviNākotnes līgumi
Strategy library

This example demonstrates how an options strategy helper can package orders for a naked put position. It sorts the available option contracts first by closeness of strike to the underlying price and then by expiry, with the expiry sort applied last; it…

OpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldībaRīkojumu izpilde
Strategy library

This document describes a Python helper for retrieving futures candlestick data from HeXun’s third-party service. The function accepts an instrument, bar interval, requested history size, and options for including the latest bar or returning a DataFrame. It…

Nākotnes līgumiIzejvielasĶīnas tirgiRīkojumu izpilde
Strategy library

This intraday trend-following strategy combines the MACD histogram, a long-period exponential moving average, and Williams Alligator lines. It takes long positions when the histogram is positive, price is above the Alligator lips and long-period average, and…

Tehniskie indikatoriSekošana tendenceiCenas impulssKriptoaktīvi
Strategy library

The script builds a charting and strategy framework around multiple simple and exponential moving averages. Its configurable periods include Fibonacci-like values as well as other lengths, ranging from short averages to very long ones. Users can toggle SMA…

Tehniskie indikatoriSekošana tendencei
Strategy library

This document describes a simple moving-average strategy that compares a selected price series with an SMA. A move above the average signals a long position, while a move below signals a short position. Trading is limited to a configurable session, and…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaRīkojumu izpilde