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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
Dokumentu skaits: 164
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 work-in-progress strategy uses a multi-pole Gaussian filter on price and true range to form a smoothed trend line and an upper volatility band. It enters long when the filter is rising, price closes above that band, and smoothed Stochastic RSI has its…

Tehniskie indikatoriSekošana tendenceiCenas impulssCenas izrāviens
Strategy library

This intraday strategy combines a volume-weighted moving average with standard-deviation bands and RSI. It looks for price to reach an outer band and an RSI threshold to turn back from an oversold or overbought condition. Long entries require a touch below…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

This strategy builds a Keltner-style channel around a moving average, with band distance based on ATR, then trades price crossings at the channel boundaries. It enters long when price crosses above the lower band and short when price crosses below the upper…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

This strategy combines a fast and slow moving-average difference, a smoothed signal line, RSI, and estimated buying and selling volume to seek short-term reversals. It describes two long setups: one uses a low but rising RSI with limited signal-line bias and…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

This document describes a stochastic oscillator setup with a slower calculation using a 14-period lookback and 3-period smoothing for its K and D lines, alongside a faster version using a 5-period lookback and the same smoothing lengths. It displays…

Nākotnes līgumiTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
Strategy library

This strategy combines the variance of recent candle ranges with three moving averages to time long entries. It calculates the range as high minus low divided by close, measures its variance across 30 candles, and scales that value. A long entry is described…

Nākotnes līgumiSvārstīgumsSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses four exponential moving averages with periods of 8, 13, 21, and 34 to identify directional alignment. It signals long when the averages are ordered from fastest to slowest in ascending order and short when the ordering reverses. The…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This short-term strategy combines Ichimoku levels with directional movement and ADX calculations. It enters when price crosses the conversion line, with positive directional movement supporting longs and negative directional movement supporting shorts; the…

Tehniskie indikatoriSekošana tendenceiCenas impulssRiska pārvaldība
Strategy library

This intraday framework looks for reversals after price moves beyond the previous day's high or low during the New York morning session. A long setup requires a break below the prior low followed by a recovery and bullish engulfing candle; a short setup uses…

Tirgus mikrostruktūraAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

This configurable strategy combines Bollinger Bands, a short-period RSI, and an optional long-period EMA filter. A long signal occurs when RSI is below its oversold threshold and price closes below the lower band; when enabled, the EMA filter also requires…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas impulss
Strategy library

This educational example maintains a BTC/USDT portfolio by comparing its cash share with a 50% target. It begins by using half of the account balance to buy the asset. On each polling cycle, it estimates total account value from cash and coin holdings, then…

KriptoaktīviTūlītējo darījumu tirgiRežģa tirdzniecībaPozīcijas apjoma noteikšana
Strategy library

This strategy combines an ATR-based SuperTrend signal with a 200-day simple moving average to trade in the direction of a broad trend. It enters long when the SuperTrend is bullish and price is above the average, or short when bearish and price is below it.…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines Ichimoku components to define market direction and time entries. It requires price to be above or below both cloud spans and checks the lagging Chikou condition against historical cloud values. A Tenkan-Kijun crossover then triggers an…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This strategy uses the Stochastic Momentum Index (SMI), derived from closing price relative to the recent high-low range, to identify possible overbought and oversold conditions. It pairs the SMI with a smoothed signal line and enters long or short when the…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This short-term strategy combines a price channel, volatility bands, and a very fast RSI to identify possible turning points and breakouts. The channel is built from recent highs and lows, with its midpoint and bands based on average distance from that…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This event-driven trading strategy builds 15-minute bars from incoming market data and calculates ATR and RSI. It only considers entries when current ATR is above the recent average of ATR values, using that condition as a volatility filter. RSI thresholds…

Tehniskie indikatoriSvārstīgumsCenas impulssRiska pārvaldība
Strategy library

This short-term strategy combines Bollinger Bands, Keltner Channels, a linear-regression momentum value, and candle characteristics. Bollinger Bands inside the Keltner Channel mark a squeeze; the document frames this as a possible precursor to changing…

Tehniskie indikatoriCenas impulssSvārstīgumsNākotnes līgumi
Strategy library

This Pine strategy treats confirmed swing highs and lows as liquidity levels. It looks for price to wick beyond a level and close back across it, then requires volume to exceed a multiple of its moving average. A qualifying sweep below a swing low triggers a…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasSvārstīgumsRiska pārvaldība
Strategy library

This daily foreign-exchange strategy combines a Kijun Sen baseline with Williams Percent Range confirmation. It can calculate signals from regular or Heikin-Ashi candles. A long signal occurs when the candle crosses upward through the baseline and Williams…

Valūtu tirgusTehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This strategy uses higher-timeframe price action to define trend direction and potential order blocks, then seeks entries on a lower, current timeframe. An uptrend is identified through a higher close and higher low; a downtrend uses the opposite pattern. A…

Cenas izrāviensTehniskie indikatoriRiska pārvaldībaRīkojumu izpilde
Strategy library

This strategy uses an efficiency ratio (ER) calculated from a price or equity time series to adapt the smoothing factor of an exponential moving average. It updates an EMA mean and an exponentially smoothed absolute deviation, then forms upper and lower…

Tehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaudeRiska pārvaldība
Strategy library

This strategy seeks potential price lows using the difference between RSI and its EMA, then filters signals with a moving average and a stochastic oscillator from a higher timeframe. A long position begins slightly below a detected low; if price continues…

KriptoaktīviNākotnes līgumiTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This strategy combines 20- and 50-period EMA crossovers with a 14-period RSI filter. A bullish crossover can trigger a long when price is above the slower EMA and RSI is below the overbought threshold; a bearish crossover can trigger a short when price is…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsPozīcijas apjoma noteikšana
Strategy library

This script sets up a backtest framework for a dollar-cost-averaging strategy modeled on 3Commas. It lets the user select either a long or a short test, choose a date range, and set a base order alongside averaging orders. The visible settings include an…

KriptoaktīviVēsturisko datu pārbaudeAtgriešanās pie vidējās vērtībasPozīcijas apjoma noteikšana