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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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FMZ forum
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FMZ digest
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vn.py community
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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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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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backtesting.py
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Technical Analysis
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QTPyLib
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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 document outlines an intraday USDJPY strategy using RSI, Parabolic SAR, and simple moving averages. The stated long setup requires price above a long-term SMA, a shorter SMA above a longer one, and RSI crossing upward through its oversold threshold. The…

Valūtu tirgusTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
Strategy library

The script describes a scalping strategy that combines a range filter, smoothed Heikin-Ashi candles, and higher-timeframe Heikin-Ashi direction to seek agreement before trading. An SMI filter is intended to avoid entering after an already extended move. The…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This document explains a trend strategy built around an ATR-based trailing stop. ATR estimates recent price movement, and a user-selected multiplier sets the stop distance. The stop is intended to move with favorable price action while remaining fixed when…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This document describes a trend-following system that combines Donchian Channel breakouts with a long-term SMA trend filter and an RSI entry filter. It enters long positions when price breaks above the entry channel while above the SMA, and short positions…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This example combines RSI threshold crossings with position sizing tied to account equity. It opens a long position when RSI rises through the oversold level and a short when RSI falls through the overbought level. Contract quantity is calculated from…

Nākotnes līgumiKriptoaktīviCenas impulssPozīcijas apjoma noteikšana
Strategy library

This crossover system compares a fast moving average with a slower one. A fast-line cross above the slow line opens a long position, and a cross below opens a short position. The description identifies both lines as EMAs, but the published code calculates…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This Pine Script template separates strategy signals from the mechanics of backtesting. Users supply long and short entry and exit conditions; the example uses a 50-period and 200-period simple moving average crossover. Inputs can enable either direction,…

Vēsturisko datu pārbaudeTehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

The strategy treats the MACD histogram as a momentum wave, calculated from the difference between fast and slow EMAs and a smoothed signal line. It enters long when the histogram crosses above a configurable entry level and short when it crosses below.…

KriptoaktīviCenas impulssTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This Pine Script strategy turns a WaveTrend oscillator into long entry and exit signals. It computes a normalized deviation of a chosen price source from an exponential average, smooths that measure, and detects crossovers between the resulting wave and its…

Tehniskie indikatoriCenas impulssVēsturisko datu pārbaude
Strategy library

This script compares two moving-average momentum strategies. Its MACD variant uses exponential averages of closing prices, while its Awesome Oscillator uses simple averages of the high-low midpoint. Both use short and long averages, with the Awesome…

Tehniskie indikatoriCenas impulssVēsturisko datu pārbaudeRiska pārvaldība
Strategy library

This strategy uses VWAP as a price reference and constructs upper and lower bands at 1.618 and 2.618 standard deviations. A long signal occurs when price moves back upward through the inner lower band, while a short signal occurs when price moves downward…

Nākotnes līgumiKriptoaktīviSekošana tendenceiSvārstīgums
Strategy library

This strategy uses Stochastic %K and %D crossovers to initiate long and short positions. It identifies recent pivot lows and highs to set direction-specific stop prices, then combines those stops with profit-taking exits. The example includes a partial exit…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriRiska pārvaldība
Strategy library

APEX V2 is presented as a configurable trading strategy that combines several analytical modules and can enable long trades, short trades, or both. Its settings include a multi-indicator confluence requirement, with a minimum agreement count, alongside…

Tehniskie indikatoriCenas impulssAtgriešanās pie vidējās vērtībasSvārstīgums
Strategy library

This trend-following system combines AlphaTrend, which uses ATR-based channels and MFI or RSI to indicate direction, with Kaufman’s Adaptive Moving Average (KAMA). It enters long when KAMA crosses above AlphaTrend and short when it crosses below. A…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy switches between trend-following and counter-trend entries according to an RSI-based regime rule. It uses 3- and 8-period EMAs for crossover signals, a 55-period EMA and 5-versus-20-period simple averages to check direction, and RSI distance…

Nākotnes līgumiKriptoaktīviSekošana tendenceiAtgriešanās pie vidējās vērtības
Strategy library

This Python strategy constructs a spread from two instrument prices weighted by configurable leg ratios. It updates the spread periodically and, after collecting enough observations, calculates a rolling mean and standard deviation over a 20-observation…

Pāru tirdzniecībaAtgriešanās pie vidējās vērtībasStatistikaRīkojumu izpilde
Strategy library

This strategy combines 9- and 21-period exponential moving average crossovers with volatility-scaled exits. It opens a long position when the faster average crosses above the slower one and a short position on the opposite cross. A 14-period ATR sets the…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This TradingView strategy generates directional signals for Sensex options using the index chart. It signals a call-side trade when price is above the 200-period EMA, RSI is above 60, ADX is above 20, volume exceeds its 20-period average, and the market is…

OpcijasAkcijasTehniskie indikatoriRiska pārvaldība
Strategy library

This trend strategy combines a Bollinger Band and Keltner Channel squeeze measure, a volume-weighted RSI, and Parabolic SAR. It looks for squeeze conditions alongside a bullish or bearish RSI reading and SAR position, then seeks an entry when the combined…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiSvārstīgums
Strategy library

This strategy combines Stochastic RSI direction with an EMA-smoothed rate-of-change filter. A K value above D is treated as bullish and below D as bearish; a sufficiently positive or negative rate of change is used to require active price movement before…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This strategy uses Bollinger Bands to define possible reversal entries and the middle band as an exit level. A close moving upward through the lower band triggers a long entry, which is closed when price rises above the middle band. A downward move through…

Valūtu tirgusTehniskie indikatoriAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude
Strategy library

This Pine strategy uses two configurable moving averages calculated on a selected higher timeframe. Its defaults are 20- and 50-period exponential averages on hourly data, though users can choose other supported average types, sources, lengths, and…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy combines a DEMA-based price difference measure, RSI, and Bollinger Bands to produce long and short signals. Its DPD component compares price with a double exponential moving average; RSI marks overbought and oversold conditions, while the bands…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude
Strategy library

This medium- to long-term trend-following approach uses a paired SR indicator and signal line. The SR line is formed from weighted and simple moving averages, and a crossover with its signal line supplies directional cues. The strategy also constructs…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori