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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
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
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Hummingbot docs
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Paradigm research
Dokumentu skaits: 175
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
Quantpedia
Dokumentu skaits: 86
TqSdk
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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Quantopian lekcijas
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Binance API docs
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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 uses ATR to set upper and lower trend references around recent highs and lows. The references are adjusted over time, and the closing price crossing a trend line can trigger a position when the line's direction condition is also satisfied. At…

Nākotnes līgumiSekošana tendenceiCenas izrāviensSvārstīgums
Strategy library

This strategy script detects regular and hidden bullish and bearish divergence between price and a selected indicator. It offers pivot-based detection, which uses left and right lookback settings, and an immediate method. Users can choose whether divergence…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasCenas impulssRiska pārvaldība
Strategy library

This rule-based strategy combines Parabolic SAR, a moving-average filter, MACD direction and RSI thresholds to form long or short signals. All four directional checks must agree, and a Choppiness Index filter is used to avoid entries during consolidating…

KriptoaktīviNākotnes līgumiTehniskie indikatoriRiska pārvaldība
Strategy library

This long-only system scores trend conditions using eight components: the ordering and separation of smoothed EMAs, their slopes, path efficiency, positive momentum and rising-bar persistence, ATR relative to its baseline, breakout strength, and pullback…

Sekošana tendenceiNākotnes līgumiTehniskie indikatoriRiska pārvaldība
Strategy library

The AC countertrend strategy buys sharp pullbacks while a broader trend filter remains bullish. It defines that regime using a faster 40-day EMA above an 80-day EMA. Pullback depth is measured as the gap between the close and the highest close over 20 days,…

AkcijasAtgriešanās pie vidējās vērtībasSekošana tendenceiPozīcijas apjoma noteikšana
Strategy library

This strategy derives Fibonacci levels from the open and range of a selected higher-timeframe candle, with an option to use the current or last completed candle. It compares the closing price with the 50% retracement level and with prior lookback lows and…

Nākotnes līgumiTehniskie indikatoriCenas izrāviensVēsturisko datu pārbaude
Strategy library

This strategy combines four familiar technical indicators to generate long and short signals. It uses Bollinger Band crossings, price location within Fibonacci retracement zones, MACD crossovers, and RSI overbought or oversold readings. Any one of these…

Tehniskie indikatoriRiska pārvaldībaNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This TradingView script enters long or short positions from a simple four-bar price pattern. It uses OHLC4 by default: a long signal occurs when the three prior observations form a rising sequence after an earlier decline, while a short signal mirrors that…

KriptoaktīviTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines higher-timeframe MACD analysis with lower-timeframe trade execution. MACD direction supplies a broader trend bias, while signal-line crosses are used to time entries. Money Flow Index (MFI) overbought and oversold readings provide an…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This Dual Thrust method sets daily trigger levels from a recent price range. It compares the highest high with the lowest close and the highest close with the lowest low over a configurable lookback, then uses the larger range component with separate upper…

Nākotnes līgumiCenas izrāviensSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses Bollinger Bands to enter trades when the closing price crosses beyond a volatility band. The middle band is a simple moving average, and the upper and lower bands add or subtract a multiple of the price standard deviation. A cross above…

Cenas izrāviensSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

This Nifty strategy combines three indicators for directional entries: price relative to VWAP and a 20-period EMA, plus RSI momentum. It opens long positions when price is above both reference lines and RSI exceeds 60; it opens short positions when price is…

AkcijasOpcijasSekošana tendenceiCenas impulss
Strategy library

This strategy uses the Random Walk Index (RWI) high and low readings to distinguish quiet conditions from possible reversals. It computes the readings over a configurable lookback using price extremes, average true range, and the square root of the period.…

Atgriešanās pie vidējās vērtībasSvārstīgumsTehniskie indikatoriNākotnes līgumi
Strategy library

The document describes an automated, single-instrument trading workflow that screens moving-average combinations and selects symbols using historical results. The supplied workflow material references liquid USDT perpetual markets, hourly candles, several…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

The strategy describes a multi-timeframe MACD approach: a higher timeframe establishes directional context, while MACD crossovers on the current, lower timeframe trigger entries. The higher timeframe defaults to 60 minutes, and the MACD settings are 12, 26,…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas impulss
Strategy library

This strategy combines a stochastic-based 123 reversal signal with daily floor-trader pivot levels. The reversal component compares recent closes and fast and slow stochastic values to assign a persistent long or short state. The pivot component derives a…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

The visible script combines the Elliott Wave Oscillator (the difference between fast and slow simple averages of the midpoint), RSI, money flow index, and a volume average. Its preliminary buy signal looks for RSI below 40 while the oscillator rises below…

Tehniskie indikatoriCenas impulssCenas izrāviensRiska pārvaldība
Strategy library

The visible script defines a continuation approach built around bullish and bearish order block zones. It identifies a candidate candle three bars earlier, requires its body to exceed a minimum fraction of ATR, and checks for a subsequent move in the…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensRiska pārvaldība
Strategy library

This strategy combines Bollinger Bands with a fast and slow simple moving average. A long signal requires price to cross above the upper band while the faster average crosses above the slower one; a short signal requires price to cross below the lower band…

Nākotnes līgumiKriptoaktīviCenas izrāviensSekošana tendencei
Strategy library

This mean-reversion strategy measures how far the closing price deviates from a rolling simple moving average, dividing that difference by the rolling standard deviation. It enters long when the z-score falls below a negative threshold and short when it…

Atgriešanās pie vidējās vērtībasStatistikaTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines a fast and slow exponential moving average crossover with RSI momentum confirmation. It enters long when the fast EMA crosses above the slow EMA and RSI is above its midpoint; a downward crossover with RSI below that level closes the…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas impulss
Strategy library

This educational strategy uses separate moving-average crossover rules for entering and exiting positions. Entry requires the fast and slow averages to remain crossed for a configurable observation period. While a position is open, a second pair of averages…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This trend-following system uses long-, medium-, and short-period simple moving averages to guide entries. The described rules go long when the medium average is above the long average and the short average is rising; they go short when the medium average is…

Sekošana tendenceiTehniskie indikatoriKriptoaktīviNākotnes līgumi
Strategy library

This automated strategy uses the Relative Strength Index to seek short-term reversals. It opens a long position when RSI falls below a configurable oversold threshold and a short position when it rises above an overbought threshold. Positions are closed…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasCenas impulssKriptoaktīvi