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 five EMAs, RSI, MACD crossovers, a 50-period price-range midpoint, and a volume filter to seek directional trades. Long entries require an EMA crossover and agreement from the other indicators; short signals use corresponding bearish…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This mean-reversion strategy looks for price extremes confirmed by RSI. It buys when price closes below the lower Bollinger Band while RSI is below its oversold threshold, and sells short when price closes above the upper band while RSI exceeds its…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This document is a beginner-oriented example of working with OKEx futures through a trading framework. It demonstrates setting a quarterly contract and leverage, retrieving account and market data, placing an initial order, and inspecting open orders and…

Nākotnes līgumiRīkojumu izpildeTirgus mikrostruktūra
Strategy library

This strategy uses recent highs and lows to define a price channel, entering long on an upside break and short on a downside break. The source adds directional filters: a nine-period SMA must be above a 21-period SMA for long entries and below it for shorts,…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriSekošana tendencei
Strategy library

This framework pairs a simple moving average trend signal with ATR-based price bands for exits. It enters long when price crosses above the moving average, and closes the position when price reaches either band. The described defaults use a 50-period moving…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsNākotnes līgumi
Strategy library

This beginner-oriented script describes a long-only trend and risk model. It uses a 9-period and 21-period exponential moving average (EMA); a bullish crossover triggers a possible entry when RSI is between its stated oversold and overbought thresholds. A…

Tehniskie indikatoriSekošana tendenceiCenas impulssPozīcijas apjoma noteikšana
Strategy library

This strategy combines SuperTrend trend changes with volatility-based position sizing and grouped entries. It calculates the indicator from ATR bands around the midpoint price, then uses a close crossing a prior band to signal a change in direction. For each…

Sekošana tendenceiTehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This strategy combines a Zero Lag Least Squares Moving Average (ZLSMA) with Chandelier Exit signals. The ZLSMA estimates trend direction using a linear-regression calculation and a default length of 130 periods. The Chandelier component places trailing…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

The visible script implements Williams-style up and down fractals by comparing a candidate bar's high or low with surrounding bars. A parameter controls the number of periods used on each side, with a minimum setting specified. The code also includes…

Tehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
Strategy library

This long-only strategy combines Bollinger Bands with RSI. It seeks an entry when price and RSI both move back across oversold thresholds, and closes the position when both cross back through overbought thresholds. The described RSI threshold is 50 in both…

KriptoaktīviNākotnes līgumiTehniskie indikatoriAtgriešanās pie vidējās vērtības
Strategy library

This strategy description proposes using weighted moving averages and RSI to identify medium-term reversal trades. It compares the direction of two differently sized weighted averages, uses RSI extremes to flag possible turning points, and says moving…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

The strategy combines Donchian Channel information with a fast and a slow exponential moving average. The channel is described as using the period’s highest high and lowest low to frame price and indicate trend direction. The source instead forms a series…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses Ichimoku Cloud levels to trade in the direction of price movement. It enters long when price crosses above Leading Span A while above Leading Span B, and enters short on the inverse condition. The documented settings include the standard…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This BTC futures strategy combines 12- and 50-period EMAs into a spread score normalized by a 14-period ATR and scaled to a bounded range. It uses separate alert and execution thresholds, including signals when the score reverses across intermediate levels.…

KriptoaktīviNākotnes līgumiTehniskie indikatoriSvārstīgums
Strategy library

This ETH futures strategy classifies market conditions using highs and lows from daily and 30-minute windows. A breakout of the shorter window’s high or low beyond the corresponding daily level signals a bullish or bearish state; when both sides break, the…

Nākotnes līgumiKriptoaktīviCenas izrāviensSekošana tendencei
Strategy library

The strategy combines Bollinger Bands and Keltner Channels to characterize volatility compression, alongside a momentum series derived from linear regression. It describes a squeeze as Bollinger Bands contracting inside the Keltner Channel and a release as…

KriptoaktīviNākotnes līgumiCenas impulssSvārstīgums
Strategy library

This proposed mean-reversion system builds a volatility-adjusted channel around a short-term EMA. The channel width is a multiple of ATR, with stated defaults of a 10-period EMA, a 30-period EMA filter, a 14-period ATR, and a 0.5 multiplier. The written…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasSvārstīgumsTehniskie indikatori
Strategy library

This document describes a long-only dollar-cost averaging setup for an INTC-linked USDT perpetual futures market. It starts with a base order and adds equal-sized safety orders as price falls, using progressively wider price steps. The configuration…

Nākotnes līgumiKriptoaktīviPerpetuālie nākotnes līgumiPozīcijas apjoma noteikšana
Strategy library

This trend-following system combines Donchian channel levels with ATR-based stop placement and trades both long and short. The channel is calculated from recent highs and lows, with a 20-period setting described. The prose first characterizes entries as…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

Noro’s short-term strategy combines a fast RSI with candle direction, candle-body size, recent candle extremes, and an optional simple moving average filter. Its default RSI period is 7, with a stated limit of 30; the source builds several signal groups,…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This strategy uses a 14-period exponential moving average as a dynamic reference for long and short entries, with candle direction and wick proportions used to screen signals. A long entry requires a bullish candle crossing above the EMA, at least half of…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This trend-following strategy uses changes in Supertrend direction to open long or short positions. The source sets stop and profit price levels using fixed amounts from the signal bar, with ATR length and multiplier as Supertrend parameters. It also closes…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This long-only reversal strategy uses moving-average-based volatility bands to seek entries after a decline. Its source defines a buy pattern in which price first closes below a lower threshold, then recovers above it, followed by a higher close. Position…

Atgriešanās pie vidējās vērtībasSvārstīgumsTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines five simple moving averages, spanning 10 to 200 periods, to assess trend direction and alignment. The described long setup requires several averages to rise and shorter averages to sit above longer ones; the short setup uses falling…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiKriptoaktīvi