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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
Dokumentu skaits: 7,910
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
Dokumentu skaits: 1,124
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
Dokumentu skaits: 219
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
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
TqSdk
Dokumentu skaits: 86
Quantpedia
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
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 adapts fast and slow simple moving average lengths to volatility measured by ATR. It combines crossover and price confirmation with optional RSI, engulfing-candle, volume, volatility, time-of-day, and 15-minute trend filters. It also permits…

Nākotnes līgumiSekošana tendenceiSvārstīgumsTehniskie indikatori
Strategy library

The workflow pits multiple language models against one another as virtual traders, each with a separate simulated account and tracked performance. Models receive daily, hourly, and five-minute price data with RSI, MACD histogram, ATR, and OBV, then issue…

KriptoaktīviPerpetuālie nākotnes līgumiMašīnmācīšanāsTehniskie indikatori
Strategy library

This crypto strategy uses two simple moving averages to define the prevailing direction and price relative to the faster average to time pullback entries. It buys when price is below the fast average while that average is above the slow average, and sells…

Nākotnes līgumiKriptoaktīviSekošana tendenceiAtgriešanās pie vidējās vērtības
Strategy library

This script describes a directional XRP strategy that combines moving-average trend filtering with price breakouts and elevated trading volume. It uses a fast and slow exponential moving average to define bullish or bearish conditions, then looks for a close…

KriptoaktīviCenas izrāviensSekošana tendenceiTehniskie indikatori
Strategy library

This execution system monitors matched near and far futures contracts across several assets and tracks the difference between their bid and ask prices. It builds a grid around the initial spread, adding levels as the spread moves beyond the current range.…

Nākotnes līgumiKriptoaktīviPāru tirdzniecībaRežģa tirdzniecība
Strategy library

This script description outlines a long-only grid for NOT/USDT perpetual futures. It places price levels between fixed upper and lower bounds, with either geometric or arithmetic spacing. The stated design buys as price crosses grid levels downward and sells…

Režģa tirdzniecībaKriptoaktīviPerpetuālie nākotnes līgumiPozīcijas apjoma noteikšana
Strategy library

This intraday strategy looks for price to sweep a prior reference high or low and then show a confirming candle reaction. Its reference levels include the previous Asian-session range, prior day, prior week, and prior month highs and lows. At the 8:30 New…

Tehniskie indikatoriCenas izrāviensRiska pārvaldībaRīkojumu izpilde
Strategy library

This mean-reversion approach seeks short rebounds after oversold readings, but only when price is above its 200-day simple moving average. It enters when the two-period RSI falls below the stated threshold and exits if price reaches the highest high from the…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This long-only trend strategy uses the Directional Movement Index to find entries and an ATR-based trailing stop to manage exits. It requires ADX to cross above a threshold while positive directional movement exceeds negative directional movement. The stop…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This XBT futures strategy builds a sentiment score from price location and range across ten lookback windows spanning 1 to 89 bars. For each window, it compares the close with a range centered on an average price, scales that position by the window's price…

KriptoaktīviNākotnes līgumiPerpetuālie nākotnes līgumiTirgus noskaņojums
Strategy library

This strategy coordinates three Supertrend indicators built with different ATR periods and multipliers. A main indicator identifies direction, a more responsive secondary indicator can confirm or initiate a signal, and a broader filter is intended to keep…

KriptoaktīviNākotnes līgumiSekošana tendenceiSvārstīgums
Strategy library

This monitoring controller checks whether configured exchange and trading-pair combinations return mid-price data, then reports best bid, best ask, mid-price, and estimated volume at price levels 1% above and below the midpoint. It organizes the readings in…

Tirgus mikrostruktūraRīkojumu izpildeKriptoaktīvi
Strategy library

The document describes a multi-session strategy organized around price-level delta volume profiles and point-of-control (POC) cluster zones. Its visible settings allow London, New York, and Asia session filters, a signal analysis timeframe, and an EMA 200…

Tehniskie indikatoriTirgus mikrostruktūraRiska pārvaldībaRīkojumu izpilde
Strategy library

This trend-following method combines a pair of simple moving averages with a volume confirmation and rolling support or resistance levels. A crossover or crossunder supplies the directional signal; the signal is accepted only when current volume exceeds its…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas izrāviens
Strategy library

This strategy combines trend context from two simple moving averages with RSI and bullish or bearish engulfing patterns. It signals a long on a bullish engulfing candle and a short on a bearish one, setting percentage-based stop and target levels from the…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This multi-indicator strategy uses a Fisher-style oscillator calculated from Hull moving average values to identify crossovers and potential turning points. Long and short entries can be triggered by a crossover beyond configurable outer levels or across…

Tehniskie indikatoriSekošana tendenceiCenas impulssNākotnes līgumi
Strategy library

This indicator strategy combines the Relative Strength Index and Commodity Channel Index by standardizing each with a rolling z-score, then blending the standardized values with adjustable weights. It calculates dynamic upper and lower bands around the…

Tehniskie indikatoriStatistikaCenas impulssNākotnes līgumi
Strategy library

This NQ strategy seeks pullbacks toward a 21-period EMA and enters only when trend and price action confirm continuation. It defines a trend reference as a 21-period simple moving average of the 21-period EMA of closing prices. Longs require that reference…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriCenas izrāviens
Strategy library

This trend-following approach combines the prior daily candle’s direction with the relationship between 50-period and 200-period exponential moving averages. It enters long when the prior day closed above its open, current price is above that open, and the…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaNākotnes līgumi
Strategy library

This crypto strategy smooths RSI readings with a Hull moving average for closing, high, low, and median prices. It uses a 55–45 middle channel to identify consolidation, then compares closing-price RSI and price with median-price RSI to generate directional…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas izrāviens
Strategy library

The visible portion of this Pine strategy calculates RSI and an RSI-based Stochastic oscillator, then builds a multi-pole Gaussian filter of a selected price source and true range. The filter’s direction determines its plot color, while upper and lower bands…

Tehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This strategy requires two RSI conditions to align before entering: a price-RSI divergence and an RSI crossover of an overbought or oversold threshold. Bullish divergence is described as price making a lower low while RSI does not, followed by RSI rising…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasCenas impulss
Strategy library

This strategy looks for potential reversals when price closes beyond a Bollinger Band and the Stochastic oscillator confirms an extreme. It uses a 20-period band with a two-standard-deviation width, and a Stochastic K value below 20 for long entries or above…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasSvārstīgums
Strategy library

This strategy combines an RSI-based Stochastic oscillator with Heikin-Ashi candle changes and a moving-average trend filter. It seeks longs when the oscillator turns up from oversold and the Heikin-Ashi signal turns positive, provided the moving averages and…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas impulss