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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 system combines ADX, directional indicators, and MACD. It considers a long when +DI exceeds -DI, MACD is above its signal line, and ADX is above a threshold; a short uses the opposite directional and momentum conditions. The listed…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

The strategy uses 5-, 21-, and 50-day simple moving averages to define a long-only trend filter. It enters when the closing price is above all three averages and exits when price falls below the 21-day average. The published implementation allocates 100% of…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines Heiken Ashi candles with the Ichimoku Kijun-sen baseline to identify directional signals. A long setup requires bullish Heiken Ashi conditions above the baseline, a rising baseline over a short lookback when the divergence filter is…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy forms a channel from 5-period simple moving averages of highs and lows. It signals a long when the close is above both averages and RSI exceeds 80, and a short when the close is below both and RSI is under 10 according to the listed parameters.…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This document presents a Pine Script strategy organized around support and resistance zones generated from pivot calculations. Its visible settings allow daily, weekly, monthly, quarterly, or yearly pivot periods and several pivot formulas, including…

IzejvielasTehniskie indikatoriSvārstīgumsVēsturisko datu pārbaude
Strategy library

This OKCoin futures automation waits for the latest price to cross a user-selected trigger level, then submits a limit order at a separately specified price and contract quantity. The settings allow selection of currency denomination, contract expiry, trade…

Nākotnes līgumiKriptoaktīviRīkojumu izpildeRiska pārvaldība
Strategy library

This document outlines a trend-following system that combines Double Hull moving-average calculations with a volume-weighted moving average (VWMA), RSI, ADX, and a volume filter. Long and short direction is determined by the relative position of two derived…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This document describes a long-only reversal strategy that uses a 14-period RSI. When RSI falls below 30 during the configured date window, the rules open a long position. The stated exit levels are a stop 1% below the position's average entry price and a…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This document presents a strategy that combines a 14-period RSI with a smoothed Stochastic oscillator. The specified RSI thresholds are 70 for overbought and 30 for oversold; the Stochastic %K and %D lines each use three-period smoothing. Its stated rules…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This document describes a two-way trend-following strategy using price crossovers with a 17-period smoothed moving average (SMMA). A move above the average opens a long position, and a move below it opens a short position. The strategy uses an ATR-based stop…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This alpha model forms every eligible pair from the selected securities and tracks the ratio of the first asset’s price to the second’s. It smooths that ratio with an exponential moving average and sets upper and lower bands using a configurable percentage…

Pāru tirdzniecībaAtgriešanās pie vidējās vērtībasTehniskie indikatoriPortfeļa veidošana
Strategy library

This trend-following setup combines a fast and slow EMA crossover with RSI, volume, and a prior-candle breakout confirmation. Long entries require an upward crossover, RSI below its overbought threshold, volume above its moving average, and a close above the…

Sekošana tendenceiTehniskie indikatoriCenas izrāviensSvārstīgums
Strategy library

This strategy places limit orders around weekly pivot levels, using support levels S1 through S3 for long entries and resistance levels R1 through R3 for short entries. Each filled position targets the central pivot as its exit. The script allows multiple…

Tehniskie indikatoriAtgriešanās pie vidējās vērtības
Strategy library

This TradingView strategy is presented for Bitcoin’s 15-minute chart and centers on a WaveTrend oscillator, a volume-weighted average price reference, and divergence signals. WaveTrend is formed from smoothed calculations on the average price, with a short…

KriptoaktīviTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This BTC futures strategy combines an 8-period EMA and 26-period SMA crossover with momentum and oscillator filters. A long signal requires the EMA to cross above the SMA, the SMA’s five-period momentum to be positive, both 34- and 55-period CCIs to exceed…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This strategy pairs a volatility channel with Stochastic RSI to generate long entries. The channel uses a 20-period exponential moving average as its center and places its boundaries two standard deviations from that average. Stochastic RSI is calculated…

Tūlītējo darījumu tirgiCenas impulssCenas izrāviensTehniskie indikatori
Strategy library

This intraday strategy combines Bollinger Bands, RSI, Stochastic RSI, and a volume-spike filter to seek reversals from extreme prices. A long setup requires price below the lower band, RSI below 40, both Stochastic RSI lines below 20, and volume above 1.5…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

This long-only trend-following system combines Parabolic SAR, a 50-period simple moving average, and the Directional Movement Index (DMI). An entry requires price to cross above SAR, remain above the SMA, and have positive directional movement above negative…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This short-term system combines Squeeze Momentum Indicator (SMI) direction with a moving-average crossover to identify short entries. It signals a short when momentum is declining and price crosses below its moving average. The published parameters include a…

Nākotnes līgumiCenas impulssTehniskie indikatoriRiska pārvaldība
Strategy library

This document describes combining RSI with simple moving average crossovers. The written explanation says to go long when RSI is above 50 and the short SMA crosses above the long SMA, and to go short when RSI is below 50 and the short SMA crosses below the…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

This strategy uses two exponential moving averages, with listed default lengths of 5 and 10. A short EMA crossing above the longer EMA is a potential buy signal; a cross below is a potential sell signal. Entry is further restricted by whether the crossover…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This document outlines a multi-indicator strategy for cryptocurrency trading. It uses a 12-period and 26-period EMA crossover to set direction, then requires the MACD histogram to agree. It also applies an ADX threshold above 15 as a trend filter and…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This document describes a trend following method that compares a Double Exponential Moving Average (DEMA) with a Triple Exponential Moving Average (TEMA). A TEMA cross above DEMA signals a long entry, while a cross below signals a short entry. The notes…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This range-oriented strategy uses a very short RSI reading to trigger trades against extreme moves. With a two-bar RSI, it goes long at or below 11 and short at or above 91, using the indicator's transitions between extremes to switch direction. It records…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība