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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
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
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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
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Binance API docs
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FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
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

This indicator estimates market sentiment by dividing smoothed price changes by smoothed volume, then applying fast and slow exponential averages to that ratio. Their difference forms a MACD-like line, with a signal average and histogram. In the supplied…

Nākotnes līgumiCenas impulssTirgus noskaņojumsTehniskie indikatori
Strategy library

This trend-following method smooths true range with a Hull moving average and compares the resulting series across bars. The source enters long when the smoothed value rises relative to its prior value and short when it falls. It also attaches fixed…

Nākotnes līgumiSekošana tendenceiSvārstīgumsTehniskie indikatori
Strategy library

This partial strategy script exposes a configurable framework for combining several technical concepts: opening-range levels, market structure, order blocks, fair value gaps, liquidity sweeps, premium and discount zones, and Fibonacci confluence. Entry…

Tehniskie indikatoriCenas izrāviensTirgus mikrostruktūraRiska pārvaldība
Strategy library

This one-hour strategy combines four-hour trend filters with local momentum and recent price structure. Longs require price above the higher-timeframe EMA and bullish MACD alignment, plus a bullish one-hour MACD and either a recent-high breakout or a rebound…

Nākotnes līgumiCenas impulssCenas izrāviensTehniskie indikatori
Strategy library

This strategy combines higher-timeframe trend alignment, local momentum, recent price structure, and volatility-based exits. Its description uses a four-hour EMA and MACD to set directional bias, then checks the chart timeframe's MACD alongside either a…

Nākotnes līgumiKriptoaktīviCenas impulssCenas izrāviens
Strategy library

This document presents a simple cryptocurrency trading approach based on a 14-period Relative Strength Index. It treats RSI below 30 as an oversold condition for entering long and RSI above 70 as an overbought condition for entering short. The accompanying…

KriptoaktīviNākotnes līgumiTehniskie indikatoriAtgriešanās pie vidējās vērtības
Strategy library

This document describes a long-only dollar-cost-averaging approach that adjusts each allocation according to the latest price change. It increases allocation after a decline and reduces it after a rise, sizing orders from a preset starting capital and the…

KriptoaktīviPozīcijas apjoma noteikšanaRiska pārvaldībaAtgriešanās pie vidējās vērtības
Strategy library

This strategy uses three exponential moving averages, with stated default periods of 10, 30, and 50, to define directional alignment. A bullish arrangement has the shortest EMA above the middle EMA and the middle above the longest; the bearish arrangement…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This document defines paired bullish and bearish price patterns through a set of comparisons among recent closing prices. The buy setup checks that a sequence of closes is lower than selected closes several bars later, then applies a final comparison that…

Nākotnes līgumiTehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
Strategy library

This trend-following approach builds a ZigZag-style reference from a sequence of exponential moving averages and detected price extremes. It determines direction from whether the middle smoothed line is rising or falling, then uses a recent low or high as…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This strategy builds Heikin-Ashi candles from price data and uses their direction to form long and short signals. A signal requires a configurable run of consecutive candles in one direction, then checks the count of bullish candles over a wider lookback…

Tehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
Strategy library

The document describes a basis strategy that pairs a spot position with an opposing futures position when their prices differ enough to meet a target. Its example buys spot BTC and shorts futures when futures trade above spot, aiming to capture convergence…

KriptoaktīviNākotnes līgumiTūlītējo darījumu tirgiArbitrāža
Strategy library

This strategy combines a higher-timeframe trend filter with lower-timeframe technical indicators and ICT-style price structure. It uses a 200-period EMA to set directional bias, restricts entries to a stated morning trading window, and looks for three-candle…

Nākotnes līgumiKriptoaktīviCenas izrāviensTehniskie indikatori
Strategy library

This strategy pairs MACD crossovers with RSI as a directional filter. It enters long on a MACD line crossing above its signal line when RSI is above 50, and enters short on a downward crossover when RSI is below 50. The documented default settings are MACD…

Nākotnes līgumiCenas impulssTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This document presents a BTCUSD swing strategy built around a 200-period EMA, MACD histogram crossovers, RSI, and money flow index (MFI). Long signals require price above the EMA, an upward MACD histogram cross, RSI within a specified lower-to-mid range, and…

KriptoaktīviCenas impulssTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy pairs a three-close 123 reversal pattern with the Awesome Oscillator to generate directional signals. The pattern uses recent closing-price relationships and a Stochastic condition around a threshold; the Awesome Oscillator component compares…

Atgriešanās pie vidējās vērtībasCenas impulssTehniskie indikatoriRiska pārvaldība
Strategy library

This 15-minute strategy combines the Williams Alligator’s three-line ordering with RSI to confirm directional trades. A long entry requires the close above Lips, Lips above Teeth, Teeth above Jaw, and RSI above 55; a short entry applies the reverse ordering…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This strategy combines a fast and slow EMA trend filter with a price-action entry pattern. A long setup requires the fast EMA above the slow EMA, a recent lower low, and a close above the prior close; the short setup mirrors these conditions. It submits stop…

KriptoaktīviNākotnes līgumiCenas izrāviensSekošana tendencei
Strategy library

This strategy uses confirmed pivot highs and lows to place stop entries in both directions. With left and right pivot settings of four bars, a detected high arms a long entry just above that level, while a detected low arms a short entry just below it. The…

KriptoaktīviNākotnes līgumiCenas izrāviensAtgriešanās pie vidējās vērtības
Strategy library

This buy-only strategy uses a fast and slow moving average crossover for initial entries, with optional weekly Commodity Channel Index and Average Directional Index filters. It exits a long position when the close falls below a third, longer moving average.…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy combines short-, medium-, and long-horizon linear regressions into a directional trading signal. It evaluates each regression using slope, R-squared, and correlation thresholds, then weights the three outputs, with the short horizon receiving…

StatistikaSekošana tendenceiPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This strategy combines Bollinger Bands with RSI to seek short-term reversals within a trading range. It enters long when price crosses back above the lower band while RSI crosses above an oversold threshold, and short when price crosses below the upper band…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy combines a 9-period and a 50-period exponential moving average with an RSI filter for long entries. It enters when the faster average crosses above the slower one, provided RSI has risen by more than five points from the prior period and…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas impulss
Strategy library

This long-only strategy uses the Directional Movement Index components to identify a possible bullish transition. It enters when DMI+ crosses above both DMI− and ADX, combining relative directional strength with a measure of trend strength. It exits when…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldība