Pāriet uz saturu

Zināšanu bibliotēka

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
Dokumentu skaits: 20,364
SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
Dokumentu skaits: 7,090
BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
Dokumentu skaits: 1,507
Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
Dokumentu skaits: 1,033
Amberdata research
Dokumentu skaits: 766
FMZ forum
Dokumentu skaits: 682
FMZ digest
Dokumentu skaits: 662
vn.py community
Dokumentu skaits: 560
QuantInsti blog
Dokumentu skaits: 511
Galaxy Research
Dokumentu skaits: 340
QuantStart
Dokumentu skaits: 246
Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
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
Quantpedia
Dokumentu skaits: 86
TqSdk
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
Dokumentu skaits: 45
FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
Dokumentu skaits: 28
Zipline
Dokumentu skaits: 22
FMZ live strategies
Dokumentu skaits: 21
Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This strategy combines a long-horizon MACD trend filter with Stochastic signals for entries and exits. Its code tracks changes in the MACD histogram across several lookback intervals to set a directional state. Long entries require a rising Stochastic…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiCenas impulss
Strategy library

This strategy uses an EMA-based channel to classify the market as trending or sideways, then applies different entry logic in each regime. The description centers on EMA 200 with an offset, and a 9-period KDJ oscillator with stated overbought and oversold…

Nākotnes līgumiSekošana tendenceiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This strategy combines Bollinger Bands with RSI and a Stochastic-style oscillator to identify potential overbought and oversold conditions. It proposes a long when RSI is below 34, the oscillator is below 20, and price is at or below the lower band; the…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasSvārstīgums
Strategy library

This short-term crossover strategy pairs a 5-period fast simple moving average with a 10-period slow simple moving average, then uses a 30-period exponential moving average as a directional filter. A fast-average cross above the slow average can open a long…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

This intraday equity strategy takes a position when two same-day return intervals agree in direction. It compares the 10:00 opening price with the previous session’s 15:59 close, so the first measure includes the overnight move. It then compares 15:30 with…

AkcijasASV tirgiCenas impulssVēsturisko datu pārbaude
Strategy library

This strategy combines a McGinley Dynamic average with a pair of exponential moving averages to identify trend changes. A 21-period EMA crossing a 42-period EMA sets the directional bias, while price relative to the McGinley line and a short-EMA price-cross…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This small trading-terminal plugin plots the price difference between quarterly and current-week futures contracts. It retrieves five-minute records for each contract, aligns the most recent observations by their array positions, subtracts the current-week…

Nākotnes līgumiKriptoaktīviTirgus mikrostruktūraRīkojumu izpilde
Strategy library

This strategy defines several candlestick patterns, including long-legged doji, marubozu, gap windows, tower bottoms, mat holds, and matching highs. It combines selected bullish patterns with a condition that price is above a simple moving average, and…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas izrāviens
Strategy library

This rules-based strategy combines an Advanced Sentiment Oscillator (ASO), an SSL channel, and a momentum breakout indicator. Long or short entries require alignment between the ASO’s bullish or bearish state, a recent crossover, the SSL trend direction, and…

Sekošana tendenceiCenas impulssCenas izrāviensTehniskie indikatori
Strategy library

This trend-following approach tracks an asset’s highest price and sets entry and exit thresholds as percentages of that peak. It describes buying when the close falls below 80% of the tracked high and closing the position when the close rises above 99%. The…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses a smoothed Awesome Oscillator to generate directional signals. It calculates the difference between fast and slow moving averages of median price, using default lengths of 5 and 34 periods, then subtracts a further fast-length moving…

Tehniskie indikatoriCenas impulssNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This trend-following approach adds selected low-frequency Fourier components to price and applies fast, medium, and slow moving averages. The stated defaults are 5, 20, and 200 periods. It enters long when the fast average is above the medium average and…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This strategy combines a three-bar 123 reversal signal with the Fisher Transform. It opens a long or short position only when both indicators point in the same direction, and closes positions when their signals disagree. The document describes the reversal…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasNākotnes līgumiVēsturisko datu pārbaude
Strategy library

The document describes a sector rotation approach combining relative momentum with a market regime filter. Its stated rules hold the strongest sectors by three-month gains when the S&P 500 is above its ten-month simple moving average, exit when the index…

Cenas impulssAkcijasSekošana tendenceiPortfeļa veidošana
Strategy library

This script turns Supertrend direction changes into a simple long-only trading rule. It buys when the direction switches from positive to negative and closes the long position when direction switches back. The indicator uses an ATR length of four and a…

Tehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
Strategy library

This strategy classifies the MACD histogram on a four-hour timeframe by both its sign and whether it is rising or falling. Those states are used to generate long and short entries or to close positions, with configurable MACD lengths and an optional mode…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This Pine Script template shows how to connect strategy orders to webhook alert messages. Its example signal uses a fast and slow moving average crossover, with selectable EMA, SMA, WMA, or RMA calculations. The example enters long or short when the averages…

Tehniskie indikatoriRiska pārvaldībaRīkojumu izpilde
Strategy library

BRAHMASTRA combines a smoothed moving-average crossover module with pivot-based trendlines. The HMA-Kahlman component compares two Hull moving-average variants, optionally smoothed with a Kahlman filter, and marks bullish or bearish crossovers. The…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This trend-following approach combines two moving-average filters with Parabolic SAR. It classifies the market as rising when the faster EMA is above the slower EMA and the faster SMA is above the slower SMA. During that condition, the rules place a stop…

Sekošana tendenceiTehniskie indikatoriCenas izrāviensRiska pārvaldība
Strategy library

This strategy describes staged accumulation in volatile BIST stocks. It derives support and resistance levels from price crossings with Hull moving averages applied to closing prices, then compares the distance between those levels with a configurable range.…

AkcijasAtgriešanās pie vidējās vērtībasSvārstīgumsPozīcijas apjoma noteikšana
Strategy library

The document presents a configurable reversal strategy that combines RSI, MACD, Williams %R, volume spikes, Bollinger Bands, and divergence checks. Its inputs set indicator thresholds and lengths, choose a trading session, and let users require divergence,…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

The available script excerpt describes an ICT-style setup that combines session timing, trend filters, swing levels, liquidity sweeps, displacement, fair value gaps, and market-structure signals. It defines bullish and bearish context using 50- and…

Tehniskie indikatoriTirgus mikrostruktūraRiska pārvaldībaRīkojumu izpilde
Strategy library

This proposed gold strategy combines trend direction, momentum context, and candle reversals. It uses the relative positions of 50- and 200-period exponential moving averages to set direction, then looks for RSI readings from 45 to 55 and a bullish or…

IzejvielasSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This strategy uses fast, medium, and slow exponential moving averages to classify bullish and bearish conditions, then looks for engulfing-style candles with a minimum body-to-range ratio. The description presents trend-following and reversal entries, fixed…

AkcijasSekošana tendenceiTehniskie indikatoriPozīcijas apjoma noteikšana