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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
Dokumentu skaits: 12,226
OKX Learn
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Strategy library
Dokumentu skaits: 7,910
MQL5 code base
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BigQuant
Dokumentu skaits: 3,481
Bitget Academy
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MQL5 articles
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TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
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Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
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
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
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Hummingbot docs
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Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
TqSdk
Dokumentu skaits: 86
Quantpedia
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
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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WonderTrader
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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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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 strategy uses directional movement indicators to identify long and short entry conditions. A long signal occurs when the positive DI falls below 10 while the negative DI rises above 40; a short signal applies the reverse thresholds. The script…

Tehniskie indikatoriOpcijasCenas impulssRiska pārvaldība
Strategy library

This beginner example describes selling a target amount of spot Bitcoin in smaller orders to reduce the market impact of a single large sale. The trader sets the total amount to sell, the size of each order, and how long each order remains open. The script…

KriptoaktīviTūlītējo darījumu tirgiRīkojumu izpildeTirgus mikrostruktūra
Strategy library

This technical trading system combines candlestick pattern detection with moving averages to produce directional entries. It describes using a 6-period EMA as a short-term trend reference and 50- and 200-period SMAs for longer-term context. The listed…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSekošana tendencei
Strategy library

This strategy looks for breakouts by comparing Bollinger Bands with Keltner Channels and requiring above-average volume. Its stated defaults use 20-period bands and channels, with Bollinger width based on two standard deviations and Keltner width based on…

Nākotnes līgumiKriptoaktīviCenas izrāviensSvārstīgums
Strategy library

This strategy uses a fast and a slow Triple Exponential Moving Average (TEMA) to trade trend changes. The described default periods are 5 and 8. A cross of the fast line above the slow line triggers a long entry; a cross back below closes the long. An…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines a Price Channel with a trend state to generate long and short entries. It sets the channel center to the midpoint of the highest and lowest closing prices over a lookback period, then smooths the absolute distance between price and…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

SmoothOperator is an experimental five-minute long strategy that combines common indicators and candle patterns in an attempt to identify bottoms and incomplete peaks. Entry conditions include a short V-shaped rebound after falling prices with oversold CCI…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldībaKriptoaktīvi
Strategy library

This strategy compares two linear regression series, using a shorter period of 20 and a longer period of 40 by default. When the shorter series crosses above the longer one, it opens a long position if none is open; a downward cross similarly opens a short.…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This long-only mean-reversion strategy uses the 200-day simple moving average as a reference for large-cap stocks on daily charts. It enters when the price low falls to roughly 85–90% of the average, on the premise that a substantial decline may be followed…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriAkcijasRiska pārvaldība
Strategy library

This strategy uses the crossover of a 50-day simple moving average and a 200-day simple moving average to identify trend changes. A cross above the longer average signals a long entry, while a cross below it closes the long position and opens a short…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaNākotnes līgumi
Strategy library

This strategy uses a long-period EMA as a trend filter and a shorter EMA as an exit reference. It opens a long position when price is above the longer EMA while flat, then exits when price falls below the shorter EMA or breaches a fixed percentage loss…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy pairs a fast weighted moving average with a slower simple moving average. A bullish crossover opens a long position and a bearish crossover opens a short position. Each entry is managed with fixed percentage stop-loss and take-profit levels,…

KriptoaktīviNākotnes līgumiTehniskie indikatoriSekošana tendencei
Strategy library

This multi-indicator approach combines Heikin-Ashi bar direction, a fast, slow, and filter moving average arrangement, and Stochastic momentum. Bullish or bearish conditions receive points when the indicators agree; signals become stronger as more conditions…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas impulss
Strategy library

This strategy uses Bollinger Bands to generate directional trades. It calculates a simple moving average as the center line and places upper and lower bands a configurable multiple of standard deviation away. A close below the lower band triggers a long…

Nākotnes līgumiKriptoaktīviCenas izrāviensTehniskie indikatori
Strategy library

This strategy combines Bollinger Bands, Keltner Channels, and a linear regression momentum series. A squeeze is defined when the Bollinger Bands sit inside the Keltner Channel, a condition intended to indicate compressed volatility. The source offers two…

Tehniskie indikatoriCenas impulssSvārstīgumsKriptoaktīvi
Strategy library

This rule set combines recent support and resistance levels, selected candlestick patterns, and a simple market structure classification. It defines levels using the lowest low and highest high over a lookback period, and identifies bullish or bearish…

Cenas izrāviensTehniskie indikatoriRiska pārvaldībaKriptoaktīvi
Strategy library

This multi-market strategy combines a zero-lag exponential moving average with MACD crossovers, a 100-period EMA trend filter, and RSI-based exits. It calculates a ZLEMA from two successive exponential averages, derives fast and slow lines from that series,…

Tehniskie indikatoriCenas impulssSekošana tendenceiRiska pārvaldība
Strategy library

This spread strategy uses Bollinger bands to enter positions when a spread moves beyond its recent range, then aims to close the position after it returns to its simple moving average. It updates spread bars from incoming ticks and waits for its price…

Atgriešanās pie vidējās vērtībasArbitrāžaTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This proposed strategy identifies direction from a short and a long simple moving average, with crossovers used to open positions. RSI is presented as a stand-in for machine-learning confidence: the code scales and rounds the indicator, then applies a…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaMašīnmācīšanās
Strategy library

This example demonstrates using a persistent object store to cache historical data so later backtests can avoid repeating a costly history request. On the first run, it retrieves daily SPY closing prices, feeds them into price and exponential moving average…

Vēsturisko datu pārbaudeAkcijasTehniskie indikatoriMašīnmācīšanās
Strategy library

This strategy uses a smoothed stochastic K value to classify market regimes. A move above the upper threshold marks a strong regime, while a move below the lower threshold marks a weak one. In a strong regime, a downward cross of the midpoint prompts long…

Tehniskie indikatoriCenas impulssPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This script presents a single-trigger scalping strategy that combines a zero-lag exponential moving average with VWAP and its standard-deviation bands. It defines bullish or bearish bias from price relative to both the average and VWAP, then looks for a…

Tehniskie indikatoriRiska pārvaldībaRīkojumu izpilde
Strategy library

The available source describes a strategy that blends momentum-based trend detection with an adaptive ATR measure and a staged profit-taking plan. It estimates momentum relative to recent closing-price variability, combines that factor with short- and…

Sekošana tendenceiCenas impulssSvārstīgumsTehniskie indikatori
Strategy library

This long-only trend-following strategy enters when the close rises above the highest high from a chosen lookback period. It uses an EMA, calculated on a selectable chart timeframe, as an exit signal when the close falls below it. The description also…

Nākotnes līgumiKriptoaktīviCenas izrāviensSekošana tendencei