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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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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

SimpleXEMM places limit buy and sell orders on a maker exchange and hedges maker fills by trading the opposite side on a taker exchange. It estimates taker execution prices for the configured order size, then sets maker prices to target a chosen…

Tirgus veidošanaArbitrāžaRīkojumu izpildeTirgus mikrostruktūra
Strategy library

This strategy looks for trades when a fast EMA and slow SMA are close together, with their distance constrained by a configurable percentage. It then requires price and both averages to align for the trade direction. Entries are triggered by either a large…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensSvārstīgums
Strategy library

This document outlines a configurable strategy that combines EMA, VWAP, MACD, Bollinger Bands, and Schaff Trend Cycle signals. EMA and VWAP are used as trend and price-location filters; MACD crossovers assess momentum; band crossings and STC thresholds…

Nākotnes līgumiTehniskie indikatoriCenas impulssSvārstīgums
Strategy library

This strategy combines dollar-cost averaging with a trailing take-profit exit. It adds to a long position when price falls by a configurable amount from the previous buy, subject to a maximum number of additions. Once price rises above the last buy price by…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasPozīcijas apjoma noteikšana
Strategy library

This tutorial describes a command-driven bridge between TradingView alerts and an exchange execution bot. Incoming messages use an action-and-amount format. The bot distinguishes spot from futures accounts, sets price and quantity precision, and maps…

Rīkojumu izpildeNākotnes līgumiTūlītējo darījumu tirgiTirgus mikrostruktūra
Strategy library

This short programming example illustrates how to derive a rolling average series from an indicator output, using ATR as its motivating example. It retrieves recent market records, computes an indicator, retains a trailing portion of the data, and averages…

StatistikaTehniskie indikatoriRiska pārvaldība
Strategy library

This intraday strategy uses Zigzag swing points to classify higher highs, higher lows, lower highs, and lower lows. It treats new highs or lows as trend signals, then uses a retracement zone formed from recent swing points to time entries after price breaks…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This Pine Script example adds a monthly and yearly return table to a strategy chart. It derives per-bar percentage changes from the strategy equity curve, compounds those changes within each calendar month and year, and stores completed period returns with…

Vēsturisko datu pārbaudeStatistikaTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses a long moving average to define the prevailing market direction and a shorter average to identify pullbacks. Its stated rules buy when price is above the 200-period simple moving average but below the 10-period average, then exit after…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This document describes a multi-indicator system intended to trade strong trends. It uses three EMAs to assess trend direction, Supertrend for confirmation and exit levels, and ADX to filter for stronger conditions. Bollinger Bands and daily, weekly, and…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This strategy builds Bollinger Bands around a selectable moving average, offering alternatives such as simple, exponential, weighted, double exponential, Hull, and Tillson T3 averages. The middle band uses the selected average, while the outer bands are…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasKriptoaktīviNākotnes līgumi
Strategy library

ReinforcedSmoothScalp is a one-minute long-only scalping strategy that seeks frequent entries and small gains. It resamples price to a five-minute interval and uses a 50-period simple moving average there as a broad trend filter. On the trading timeframe,…

KriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

This BTC futures strategy combines swing-level breakouts, a volume filter, and percentage-based exits. The description presents EMA(10) and SMA(21) as trend filters, uses swing highs and lows identified with six bars on each side, and requires volume to meet…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

The document presents a futures strategy organized around a two-bar setup, with a configurable minimum candle-body share and a stop offset beyond the second bar’s wick. It includes a displayed 50–61.8% retracement zone, a VWAP trend filter, and volume and…

Nākotnes līgumiTehniskie indikatoriCenas izrāviensRiska pārvaldība
Strategy library

This strategy combines a 9-period and 21-period simple moving average crossover with dynamic support and resistance levels calculated from the recent low and high. A bullish crossover generates a long entry when the close is above support; a bearish…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This trend-following system combines MACD, Parabolic SAR, and Supertrend to confirm directional entries. A long requires MACD above its signal line, price above SAR, and a bullish Supertrend state; a short requires all three bearish conditions. Positions…

Tehniskie indikatoriSekošana tendenceiCenas impulssRiska pārvaldība
Strategy library

The document presents a partially shown Pine Script strategy that tracks an initial balance session, draws its high and low, and configures breakout-related chart levels. The visible settings include a 55-minute initial balance beginning at 9:15, a…

AkcijasCenas izrāviensTehniskie indikatori
Strategy library

The strategy applies a 20-period RSI to a volume-weighted average price series and uses overbought and oversold thresholds to time BTC shorts. The stated entry is an RSI cross downward through the 85 overbought level; the stated exit is after 28 candles or…

KriptoaktīviNākotnes līgumiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This long-term trend-following method uses two simple moving averages to determine when to enter and exit a long position. With the stated defaults of 50 and 200 periods, a cross of the shorter average above the longer one opens a long trade; a cross below…

Tehniskie indikatoriSekošana tendenceiAkcijasVēsturisko datu pārbaude
Strategy library

FlyTV maps a measured fruit fly connectome into a chart-based trading strategy. The script description says its network represents 1,329 neurons and 20,000 measured connections. It assigns price-derived stimuli to modeled neural circuits: looming detectors…

MašīnmācīšanāsTehniskie indikatoriRīkojumu izpildeRiska pārvaldība
Strategy library

This short-term trend-following method compares two groups of exponential moving averages. It sums six shorter EMAs, with lengths from 3 to 15 periods, and six longer EMAs, with lengths from 30 to 60 periods. The indicator subtracts the short-period sum from…

Tehniskie indikatoriSekošana tendenceiCenas impulssNākotnes līgumi
Strategy library

This document shows how to add a position-change notification to a My Language trading strategy. The example combines a simple breakout system, using a close above a recent high to enter long and a close below a recent low to enter short, with a small script…

Cenas izrāviensRīkojumu izpilde
Strategy library

This strategy uses an exponential moving average with volatility bands to identify possible turning points and enter when price breaks a reference candle’s extreme. The bands use a 20-period EMA and 1.5 standard deviations. A close beyond a band from two…

Tehniskie indikatoriCenas izrāviensSekošana tendenceiSvārstīgums
Strategy library

This strategy uses an ATR-based Chandelier Exit to track long and short stop levels from recent price extremes. The stops are adjusted so they do not move in an unfavorable direction under the stated conditions. A change in the direction state triggers a…

Tehniskie indikatoriSvārstīgumsRiska pārvaldībaNākotnes līgumi