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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
Dokumentu skaits: 152
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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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 trend-following system combines the relative positions of fast and slow exponential moving averages with ADX and directional indicators. The defaults use 50- and 200-period EMAs and an ADX threshold of 25: a long bias requires the fast EMA above the…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This strategy uses the Relative Strength Index to take positions when momentum reaches extreme readings. RSI compares average gains with average losses over a chosen lookback and ranges from zero to one hundred. The described rules treat readings below 30 as…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasCenas impulssNākotnes līgumi
Strategy library

This strategy averages RSI and smoothed stochastic readings from four configurable timeframes, then uses the combined readings to identify extreme conditions. It opens a long when both averages are oversold and a short when both are overbought. The example…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasCenas impulssNākotnes līgumi
Strategy library

This strategy uses a moving average as the Bollinger Band center and offsets upper and lower bands by a chosen multiple of recent price standard deviation. It buys when the close falls below the lower band and exits the long position when price rises above…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriStatistikaVēsturisko datu pārbaude
Strategy library

This strategy uses rolling support and resistance levels with RSI extremes to signal potential reversals. Support and resistance are defined as the lowest low and highest high over a 30-period window. The stated rules buy near support when 14-period RSI is…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This long-only approach uses Heikin Ashi candle color changes to identify possible reversals, with RSI as a filter and exit trigger. It enters when a green Heikin Ashi candle follows a red one, provided the 14-period RSI is below a configurable threshold. It…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This short-term strategy combines a channel formed from moving averages of recent highs and lows with candlestick pattern conditions called the mileage concept. The channel uses a five-candle default: closes above its upper band can support a long entry,…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This strategy combines a weekly moving-average filter, a short-period RSI condition, and a comparison of recent highs to generate long entries. It enters when the previous close is above the moving-average benchmark, the short-window high matches the…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy layers several technical signals: Ichimoku cloud position for trend context, RSI for momentum state, MACD for directional momentum, higher-timeframe RSI and MACD threshold events described as divergences, and EMA relationships for trend…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This scalping approach uses four simple moving averages to seek long entries during a longer-term bearish alignment. It enters when the 9-period average crosses above the 50-period average, provided the 50-period average remains below the 100-period average…

Tehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
Strategy library

This document turns the Quantitative Qualitative Estimation (QQE) oscillator into chart-based long and short signals with alert conditions. It calculates a smoothed RSI, estimates changes in that smoothed series, and uses a scaled volatility-like band to…

Nākotnes līgumiTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
Strategy library

This strategy combines MACD line and signal line crossovers with histogram direction: a bullish crossover is considered for a long when the histogram is positive, while a bearish crossover with a negative histogram can trigger a short. A direction setting…

Nākotnes līgumiTehniskie indikatoriCenas impulssRiska pārvaldība
Strategy library

This long-only trend system smooths log returns with short- and long-period Arnaud Legoux moving averages (ALMA). It uses their relative position to define the regime, with a minimum separation threshold to screen weak bullish signals. Entries also require a…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This document outlines a trend-following system that adapts indicator periods to the selected chart timeframe. It enters long when a fast EMA crosses above a slow EMA and RSI is above 50, and enters short when the fast EMA crosses below the slow EMA and RSI…

Vairāku aktīvu tirdzniecībaSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

This strategy combines Heikin Ashi prices, an ATR trailing channel, and a pair of exponential moving averages. A price crossing above the ATR trail generates a long signal when the fast EMA is above the slow EMA; a crossing below it generates a short signal…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This Binance futures strategy builds an index from selected altcoins’ price changes relative to Bitcoin, measured against each coin’s starting relative price. It compares each coin’s relative change with the index and targets larger positions on coins that…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTirgus mikrostruktūra
Strategy library

This document explains calendar spread trading across weekly and quarterly crypto futures contracts on one exchange. The basic position pairs equal quantities in opposite directions across two expiries, aiming to benefit when an unusually wide price…

KriptoaktīviNākotnes līgumiArbitrāžaRīkojumu izpilde
Strategy library

This document describes a long-only trend strategy that enters when the close is above a 50-period simple moving average. It calculates a trailing stop from the 10-period average true range multiplied by a sensitivity factor, with a default factor of 3. The…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This utility shows how to query outstanding margin borrowing on OKCoin and Huobi and report amounts owed in CNY, BTC, and LTC. It includes interest in the liability total: OKCoin’s fields are added directly, while Huobi’s loan records are filtered by asset…

Riska pārvaldībaKriptoaktīvi
Strategy library

This long-only trend-following method tracks 9-period and 20-period simple moving averages. After the faster average crosses above the slower one, it waits for a bullish candle that closes above the fast average before entering. The position is closed when…

Sekošana tendenceiTehniskie indikatoriKriptoaktīviNākotnes līgumi
Strategy library

This scalping framework trades MNQ during the New York session, using a 20-period exponential moving average as both a trend filter and a pullback reference. A long setup requires price to close above the average after the bar reaches it; a short setup…

Nākotnes līgumiSekošana tendenceiPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This strategy pairs Ichimoku Tenkan and Kijun line direction with Bollinger Band price breaks and RSI thresholds. The described entry rules seek long positions when price is above the upper band, Tenkan is above Kijun, price crosses above the band basis, and…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensRiska pārvaldība
Strategy library

This strategy modifies MACD by taking the difference between the logarithms of fast and slow moving averages, then smoothing that oscillator with a signal line. A long signal occurs when the histogram crosses above zero, and a short signal when it crosses…

Cenas impulssTehniskie indikatoriKriptoaktīviNākotnes līgumi
Strategy library

This framework identifies simple three-candle fair value gaps and treats them as potential imbalance zones. It records the latest bullish and bearish zones, then waits for price to revisit a boundary and close back in the direction of the move. A trend…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensRiska pārvaldība