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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
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
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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
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
TqSdk
Dokumentu skaits: 86
Quantpedia
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
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
Dokumentu skaits: 45
FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
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quant-trading
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FinRL
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Zipline
Dokumentu skaits: 22
FMZ live strategies
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Jesse
Dokumentu skaits: 17
pyfolio
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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

The strategy builds a Traders Dynamic Index from a 13-period RSI, a 34-period RSI average, and bands offset by 1.6185 times the RSI standard deviation. It also compares fast and slow RSI averages and retrieves these measures on a higher signal timeframe. The…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriCenas impulssNākotnes līgumi
Strategy library

This script uses a fast and a slow exponential moving average to define trend changes. A cross of the fast average above the slow one signals a bullish regime; a cross below signals a bearish regime. Users can choose long-only, short-only, or both…

Tehniskie indikatoriSekošana tendenceiCenas impulssAkcijas
Strategy library

This strategy uses SuperTrend bands, built from an ATR measure and multiplier, to detect changes in trend direction. A move above the upper band marks a bullish reversal and one below the lower band marks a bearish reversal. A moving average filter requires…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensSvārstīgums
Strategy library

This simple breakout strategy compares the current high with the highest high over a fixed lookback window. A new high opens a position when none is open; the direction can be switched from long to short with a reverse setting. Positions are closed when the…

Cenas izrāviensSekošana tendenceiNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This strategy pairs breaks of recent highs or lows, described as liquidity sweeps, with a simple moving average trend filter. A close above the average defines an uptrend and a close below it defines a downtrend; the rules enter long on a recent-high break…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensRiska pārvaldība
Strategy library

This strategy looks for potential breakouts after volatility contracts. It measures volatility with Bollinger Band width and ATR divided by the closing price, then compares each measure with a threshold interpolated between its rolling minimum and maximum. A…

Tehniskie indikatoriSvārstīgumsCenas izrāviensNākotnes līgumi
Strategy library

This strategy turns a collection of moving averages and oscillators into a market rating for long or short trades. Average ratings compare price with several averages, while oscillator rules contribute additional directional scores; these components can be…

Tehniskie indikatoriStatistikaRiska pārvaldībaKriptoaktīvi
Strategy library

This strategy combines moving-average comparisons with oscillator readings to form an aggregate directional rating. Its inputs can use moving averages, oscillators, or both, and the document describes strong and weaker signal bands. It proposes entering long…

Tehniskie indikatoriStatistikaRiska pārvaldībaKriptoaktīvi
Strategy library

This futures research example starts with a long-only trend rule: it holds a position when the rate of change of a linearly weighted moving average is positive and exits when it turns negative. It compares broad parameter optimization with optimization…

Nākotnes līgumiSekošana tendenceiVēsturisko datu pārbaudeStatistika
Strategy library

This strategy uses a crossover between two configurable moving averages to generate directional entries. The trader can choose each average’s type, length, and price input from several options. A cross above the slower average triggers a long entry, while a…

Tehniskie indikatoriSekošana tendenceiKriptoaktīviNākotnes līgumi
Strategy library

The visible portion describes a self-contained TradingView strategy that combines market regime, price structure, pressure, auction behavior, and probabilistic continuation. It uses configurable fast, medium, and slow exponential averages, ATR, regime and…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaRīkojumu izpilde
Strategy library

This proposed long strategy combines a 13-period RSI and its average with a sequence of three higher highs. An entry requires RSI to be above its average and rising across recent readings, alongside the higher-high pattern. The description presents 21-, 55-,…

Tehniskie indikatoriSekošana tendenceiCenas impulssPozīcijas apjoma noteikšana
Strategy library

This strategy combines a price-and-stochastic reversal signal with a counter for consecutive rising bars. It is intended to trade only when both components agree, using customizable stochastic and bar-count settings. The document describes long and short…

KriptoaktīviNākotnes līgumiTehniskie indikatoriAtgriešanās pie vidējās vērtības
Strategy library

This example demonstrates how to request historical data in QuantConnect and work with the resulting pandas DataFrames. It covers equity, forex, option, custom Quandl, and universe history, with examples of duration-based and count-based requests. A custom…

StatistikaTehniskie indikatori
Strategy library

This intraday strategy looks for pullbacks within a short-term EMA trend. Long setups require the fast EMA to be above the slow EMA, price to reclaim the fast EMA after touching or dipping below it, RSI to cross above its trigger, and volume to exceed its…

AkcijasSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This crypto strategy combines RSI threshold crossings with a ZigZag-style reversal signal based on a minimum percentage move. Its description presents the method as a way to identify turning points and take positions in the opposite direction of the…

KriptoaktīviNākotnes līgumiSekošana tendenceiAtgriešanās pie vidējās vērtības
Strategy library

QuantumGridAllocator is a Hummingbot controller that manages grid executors across configured crypto assets. It calculates the portfolio’s actual and target allocations, treating the quote asset as the unallocated remainder, and validates that configured…

KriptoaktīviRežģa tirdzniecībaPortfeļa veidošanaRīkojumu izpilde
Strategy library

This two-timeframe strategy uses daily exponential moving averages to classify the broader trend and hourly averages to generate crossover entries. It also permits entries after a large single-bar move aligned with the daily trend, and places stops at recent…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses a Bollinger Band middle line, calculated as a moving average, as a crossover trigger. It opens a long when price crosses upward through the middle line and a short when it crosses downward, provided there is no open position. Exits are…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasCenas impulss
Strategy library

The script describes a long-only strategy driven by the rolling Sharpe ratio of excess returns. It enters when the ratio falls below a low threshold, then sells when the ratio rises above a higher threshold or when the maximum holding period is reached.…

Atgriešanās pie vidējās vērtībasStatistikaRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This intraday breakout approach records the high and low during a morning session from 9:00 to 9:15. It proposes going long after a close above the session high with RSI above an overbought threshold, or short after a close below the session low with RSI…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This long-only trend-following system averages price momentum across four lookback periods, spanning three to twelve months. It admits a long position when the composite score crosses above its threshold while annualized volatility remains below a set limit,…

Sekošana tendenceiCenas impulssSvārstīgumsRiska pārvaldība
Strategy library

This long-only mean-reversion strategy combines RSI with Bollinger Bands. It enters when RSI is below its oversold limit and price falls beneath the lower band; the stated exit is when price rises above the middle band. The description frames the band…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

The strategy plots a 20-period simple moving average and a 21-period exponential moving average, filling the space between them as a visual aid. It enters long when closing price crosses above the SMA and enters short when price crosses below the EMA.…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiKriptoaktīvi