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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

The available script excerpt outlines an Australian equities momentum strategy organized into a weekly permission layer and a daily structure layer. The weekly gate requires price above its 30-week average, that average rising relative to four weeks earlier,…

AkcijasCenas impulssSekošana tendenceiTehniskie indikatori
Strategy library

This trend-following framework uses several Ichimoku components to require agreement across trend, momentum, and historical price context. Price above or below the cloud sets the directional bias; a Tenkan-sen and Kijun-sen crossover signals momentum; and…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsRiska pārvaldība
Strategy library

This document describes a JavaScript strategy for comparing futures prices across two exchanges and trading a spread when the observed difference reaches configured thresholds. It supports both directions: opening a short position on one venue and a long on…

Nākotnes līgumiArbitrāžaPāru tirdzniecībaRīkojumu izpilde
Strategy library

This system combines shorter-term entry conditions with longer-term trend confirmation. On the entry timeframe, it checks the relationship between fast and slow EMAs, price versus a long moving average, fast and slow RSI readings, and whether volume exceeds…

Cenas impulssTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This short-term momentum approach uses weighted moving averages to identify bullish transitions. It enters when a short average crosses above a longer average, or when the averages align in ascending order. A volatility-based stop line, calculated from ATR,…

Nākotnes līgumiKriptoaktīviCenas impulssSekošana tendencei
Strategy library

This strategy combines the Know Sure Thing momentum indicator with an exponential moving average to qualify directional entries. KST is formed from weighted, smoothed rates of change over several lookback periods, then compared with a signal line. A bullish…

KriptoaktīviNākotnes līgumiCenas impulssSekošana tendencei
Strategy library

This educational algorithm demonstrates how to retrieve an order ticket immediately after submitting an asynchronous market order. It places repeated equity orders from an hourly bar handler, stores the returned ticket, and logs its identifier. The key…

Rīkojumu izpildeAkcijas
Strategy library

This strategy combines volume-weighted average price with volatility-scaled ATR bands to frame trend and possible reversal entries. VWAP is recalculated from an anchored period such as a session, week, month, or year, while modified ATR bands expand or…

Tehniskie indikatoriSekošana tendenceiAtgriešanās pie vidējās vērtībasSvārstīgums
Strategy library

The article presents a long-only strategy framed around a short and long moving-average golden cross, with RSI below 30 as an entry filter and adjustable stop-loss and take-profit levels. However, the supplied source does not implement a moving-average…

KriptoaktīviNākotnes līgumiSekošana tendenceiAtgriešanās pie vidējās vērtības
Strategy library

This example assembles a portfolio algorithm from separate framework components. A historical-returns alpha model supplies investment insights, and a mean-variance portfolio construction model turns those insights into portfolio weights intended to follow…

AkcijasASV tirgiPortfeļa veidošanaStatistika
Strategy library

This trend-following method builds a trailing reference from prior highs and lows adjusted by a weighted average of ATR. A close above the upper channel threshold sets bullish direction, while a close below the lower threshold sets bearish direction. The…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas izrāviens
Strategy library

This document gives settings and a partial strategy source for a 30-minute Ethereum trading system. Its configurable components include an ADX trend-strength check, a range filter, a Jurik moving average, MACD, a fast moving average, volume weighting, RSI, a…

KriptoaktīviTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
Strategy library

This document describes a trend strategy using SuperTrend, RSI, and an optional EMA filter. The simple mode enters when SuperTrend direction changes, while the pullback mode looks for a prior-bar interaction with the SuperTrend line followed by a confirming…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines a price-reversal signal with a modified RSI signal, and enters long or short only when both components agree. The 123 component compares recent closes and uses stochastic values to qualify potential reversals. The RSI component scales…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This strategy pairs a fast and slow simple moving average with an RSI threshold filter. A bullish crossover generates a long entry only when RSI is below the stated oversold threshold; a bearish crossover closes that long only when RSI is above the…

Tehniskie indikatoriCenas impulssRiska pārvaldībaNākotnes līgumi
Strategy library

This workflow example combines account positions, news sentiment, and technical indicators to produce automated trade decisions for tokenized US stock markets. It collects position data, analyzes news for short- and long-term sentiment, and calculates MACD,…

AkcijasKriptoaktīviTirgus noskaņojumsTehniskie indikatori
Strategy library

This script outlines an intraday gold strategy that trades only during a configured Asia session and uses session VWAP as its trend reference. A long setup requires price above VWAP, a low entering a narrow band around it, and optionally a close back above…

IzejvielasSekošana tendenceiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

The document describes a strategy that combines a smoothed stochastic oscillator with threshold crossings to generate directional trades. It calculates the stochastic value over a configurable lookback, smooths it twice, and enters long when the smoothed…

Tehniskie indikatoriCenas impulssNākotnes līgumiKriptoaktīvi
Strategy library

This price-action strategy compares recent closing prices with averages derived from the highest highs and lowest lows over fast and slow lookback periods. It also combines the midpoints of those ranges, including delayed values, as additional filters. Long…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriKriptoaktīvi
Strategy library

This strategy builds dynamic price zones from higher-timeframe weighted moving averages of open, high, low, and close. It uses the midpoint of the high and low averages as a center, then places upper and lower boundaries at a user-set percentage around that…

Cenas izrāviensTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy pairs a slow stochastic oscillator with a 200-period simple moving average and an RSI-based directional proxy. Its stated stochastic setup uses a 26-period lookback, smoothing, and overbought and oversold thresholds. A bullish crossover in the…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This strategy combines rolling Fibonacci retracement levels with a Trend Strength Over Time (TSOT) measure to identify possible reversals. It derives retracement levels from a recent high-low range, then uses percentile comparisons across multiple lookback…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines Parabolic SAR direction changes with three smoothed moving averages (SMMAs). It enters long when the SAR flips down while all three averages are rising, and enters short when the SAR flips up while the averages are not all rising. The…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses crossovers between a 60-period and a 175-period Hull moving average to signal directional trades. An upward cross triggers a long entry, while a downward cross triggers a short entry. Both averages can use a selected price source, and the…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori