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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
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 looks for divergence between price swings and the MACD histogram. It identifies local histogram peaks and troughs, then compares them with price extremes: a higher price high paired with a weaker histogram peak signals bearish divergence, while…

KriptoaktīviNākotnes līgumiTehniskie indikatoriSekošana tendencei
Strategy library

This utility mirrors position changes from a reference futures account to one or more follower accounts on the same exchange. It periodically compares the reference account’s long and short quantities with previously observed quantities, then sends…

Nākotnes līgumiRīkojumu izpildePozīcijas apjoma noteikšanaVēsturisko datu pārbaude
Strategy library

This script combines a Keltner channel breakout strategy with position sizing based on a Kelly-style fraction. Channel bands are built around a selectable simple or exponential moving average, using average true range, true range, or the high-low range.…

Pozīcijas apjoma noteikšanaCenas izrāviensSvārstīgumsTehniskie indikatori
Strategy library

This long-only trend strategy combines the slope of a simple moving average with the current price’s position relative to that average. It enters when the slope exceeds a minimum threshold and price is above the SMA. A trailing stop is intended to exit…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This indicator builds a smoothed Heikin-Ashi trend line from exponential moving averages of open and close prices. It compares the smoothed values to define direction: the trend is bullish when smoothed close is at least as high as smoothed open, and bearish…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy calculates rate of change (ROC) from closing prices, then applies the relative strength index (RSI) to the ROC series. It uses configurable buy and sell thresholds to classify conditions as oversold or overbought. The position logic takes the…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasCenas impulssTehniskie indikatori
Strategy library

This strategy computes rate of change (ROC) from a smoothed Heikin Ashi close series, then compares ROC with upper and lower thresholds derived from recent extremes and percentiles. Crossing above the lower threshold opens a long position and crossing below…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This strategy uses a fast and a slow moving average to generate directional signals. A fast-line cross above the slow line opens a long position, while a cross below opens a short position. Users can select average types, input sources, periods, and optional…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This short-term strategy uses crossovers between a 5-period EMA and a 13-period EMA to switch between long and short positions. On a bullish crossover it enters long, placing a stop at 1% below the signal-bar close and a trailing stop set to 2% of the close…

Tehniskie indikatoriCenas impulssRiska pārvaldībaRīkojumu izpilde
Strategy library

This strategy combines RSI thresholds, crossings of a rolling 125-period high, and a volume surge filter. The stated RSI defaults are 14 periods, with oversold and overbought levels of 30 and 70. A long or short entry can be triggered by an RSI threshold…

KriptoaktīviTūlītējo darījumu tirgiTehniskie indikatoriCenas izrāviens
Strategy library

This MACD variant lets traders select among 11 moving-average types for its fast line, slow line, and trigger line. The default lengths are 12 and 26 for the price averages and 9 for the trigger. It computes the difference between the fast and slow averages,…

Tehniskie indikatoriCenas impulssSekošana tendenceiVēsturisko datu pārbaude
Strategy library

This system combines two independently enabled EMA-based trading chains. The slower chain uses a weekly EMA crossover for entries and a daily EMA crossover in the opposite direction to close positions. The faster chain enters on a 12-hour crossover and exits…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This strategy uses price relative to VWAP and a 200-period EMA to set direction. It enters long when price is above both measures and short when below both, requiring the conditions to persist across three bars. The published settings specify separate fixed…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

The strategy defines a Binomial Moving Average (BMA) using normalized weights derived from half of a row of binomial coefficients, with greater weight on more recent prices. It compares a fast BMA with a slow BMA: a fast-line crossover above the slow line…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This indicator calculates a MACD line from fast and slow exponential moving averages, then forms Bollinger-style upper and lower bands around the MACD using its recent standard deviation and average. The strategy takes a long position when MACD rises above…

Nākotnes līgumiCenas impulssCenas izrāviensTehniskie indikatori
Strategy library

This system combines a smoothed Tillson T3 moving average, a Twin Optimized Trend Tracker (TOTT), and Williams %R. Its described long condition is T3 above the upper TOTT band with Williams %R above -20; the exit condition is a separate sell-side T3 below…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriCenas impulss
Strategy library

This strategy seeks short-term mean reversion after price moves unusually far from a short exponential moving average. It measures the stretch in ATR units and requires a run of consecutive lower closes for a long setup or higher closes for a short setup. A…

Atgriešanās pie vidējās vērtībasSvārstīgumsTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses MACD signals to enter trend-following positions and ATR-based levels to set stop-loss and take-profit exits. It calculates the fast and slow moving averages, MACD line, signal line, and histogram, then offers five signal choices:…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

The document presents a cryptocurrency trading approach that compares the current close with recent price extremes. It describes a buy signal when price falls below a threshold relative to the highest close over the prior ten bars, and a sell signal when…

KriptoaktīviNākotnes līgumiCenas impulssCenas izrāviens
Strategy library

This strategy looks for potential long entries using Bollinger Band position and width measures, together with a recent price-low condition. It checks whether price has formed a local low, whether band width exceeds a threshold, and whether the Bollinger…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriSvārstīgums
Strategy library

This system uses a fast 9-period exponential moving average and a slower 20-period EMA to generate directional signals. An upward crossover marks a bullish signal and a downward crossover a bearish one. The source calculates crossover events and plots…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This short-only strategy enters when price crosses below a 45-period simple moving average. It exits after a fixed holding interval, then allows another short after a fresh downward cross and a waiting interval. The stated method is intended to capture…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines a 21-period Keltner Channel, pivot-based support and resistance, and moving averages to identify breakout entries. The channel uses an exponential moving average and ATR for its boundaries, while pivot levels rely on bars on both sides…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriSvārstīgums
Strategy library

This ZEC strategy combines a higher-timeframe market-structure filter with Donchian channel breakouts. It seeks entries in the direction of the larger trend, then adds units as price moves favorably by ATR-based increments. ATR also sets a stop distance, and…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas izrāviens