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
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
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 trend, price action, volume, and volatility measures to generate tiered long and short signals. It uses short and long EMAs with an ADX filter for trend direction, candle patterns and fair value gaps for price action, and volume…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This long-only strategy uses a very short-period RSI to identify pullbacks while a long moving average filters for the broader trend. It opens a position when price is above the long average and RSI falls below its oversold threshold. The standard described…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriNākotnes līgumiRiska pārvaldība
Strategy library

This intraday strategy uses a fast and a slower EMA crossover to generate directional signals, with a longer EMA and VWAP as filters. A bullish crossover qualifies for a long only when price is above both the trend EMA and VWAP; a bearish crossover qualifies…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiRiska pārvaldība
Strategy library

This strategy uses simple moving averages with short and long lookback periods to generate directional signals. A cross of the short average above the long average opens a long position, while a cross below opens a short position. The described…

Tehniskie indikatoriSekošana tendenceiCenas impulssNākotnes līgumi
Strategy library

This workflow describes an automated approach to tokenized US stock perpetual contracts. On a scheduled cycle, it collects current position details, news sentiment, and daily US equity candles. It computes MACD, RSI, ATR, and OBV, then uses language-model…

AkcijasPerpetuālie nākotnes līgumiTirgus noskaņojumsTehniskie indikatori
Strategy library

Profit Maximizer (PMax) combines a selected moving average with ATR-based trailing stop levels to indicate trend direction. Its design draws on the moving average trend switching of MOST and the volatility-sensitive price detection of SuperTrend. The line…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsNākotnes līgumi
Strategy library

This trend-following method uses three moving averages calculated on progressively higher timeframes. A crossover between the first two provides an entry signal, while the direction of the third average acts as confirmation. Dynamic smoothing is described as…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This TradingView strategy generates long and short signals from a fast and slow exponential moving average relationship. A confirmed close crossing the fast average triggers an entry when the fast average is above the slow average for longs or below it for…

IzejvielasSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

The described system combines a momentum threshold with a 200-period EMA direction filter: it considers longs when momentum rises above its threshold and price is above the EMA, and shorts when momentum falls below its threshold and price is below the EMA.…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This document describes a spot selling tool that breaks a large target quantity into smaller orders. Each order is sized around a configurable average, with a random variation, and priced as an offset from the current best ask. The tool waits for an order to…

Tūlītējo darījumu tirgiKriptoaktīviRīkojumu izpildeTirgus mikrostruktūra
Strategy library

This strategy uses pivot highs and lows to identify possible turning points, then places stop entries around the most recently detected pivot levels. Its stated settings use four bars to the left and two to the right when identifying pivots. The description…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriCenas izrāviens
Strategy library

This event-driven example uses a simple moving average to identify possible directional changes. It loads recent closing prices into a rolling buffer, updates that buffer on each bar, and compares the latest close with the average. A cross is checked against…

Tehniskie indikatoriCenas impulssPozīcijas apjoma noteikšanaRīkojumu izpilde
Strategy library

This short-term strategy combines a 123 price reversal setup with a Kaufman adaptive moving average (KAMA). The reversal component looks for a two-step change in closing-price direction and applies stochastic oscillator conditions around a level of 50. The…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasSekošana tendenceiNākotnes līgumi
Strategy library

This strategy compares volatility-scaled measures of volume momentum and price. It derives a volume difference series from changes in close price, volume, OBV, and PVT, normalizes and smooths that series, then calculates Bollinger %B measures for volume…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasCenas impulssTehniskie indikatori
Strategy library

This strategy aligns short-, intermediate-, and long-horizon signals before entering a position. It uses a 26-period and 50-period EMA crossover for short-term direction, a channel around a 200-period moving average scaled by ATR for intermediate direction,…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriCenas izrāviens
Strategy library

This document demonstrates how to retrieve historical candlesticks from OKX’s V5 market endpoint when each request is limited to 100 bars. Its example repeatedly requests pages, uses the timestamp of the most recently processed record as the cursor for the…

KriptoaktīviPerpetuālie nākotnes līgumiRīkojumu izpildeTirgus mikrostruktūra
Strategy library

This strategy combines Williams %R with RSI to signal potential reversals from oversold and overbought areas. It uses a 30-period Williams %R and a 7-period RSI: a long signal occurs when both cross upward through their lower thresholds, while a short signal…

Nākotnes līgumiCenas impulssTehniskie indikatoriCenas izrāviens
Strategy library

This strategy combines a fast stochastic oscillator for entry timing with a slow stochastic oscillator for directional confirmation. The source uses default fast settings of 5 periods with smoothing of 2, and slow settings of 97 periods with smoothing of 1.…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas impulss
Strategy library

This document describes a long-oriented strategy using a 14-period RSI by default. It enters when RSI crosses up through an oversold threshold, set to 30 by default, and exits when RSI crosses down through an overbought threshold, set to 70. On entry, the…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas impulss
Strategy library

This trend-following method uses fast, medium, and slow simple moving averages, with default periods of 8, 21, and 55. A fast-average crossover above the medium average opens a long when both are above the slow average; the reverse alignment and crossover…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This example outlines a mean-reversion approach for two assets. It applies the Engle–Granger two-step method: regress one price series on the other, test whether residuals are stationary, then estimate an error-correction model and check that its adjustment…

Pāru tirdzniecībaAtgriešanās pie vidējās vērtībasStatistikaVēsturisko datu pārbaude
Strategy library

This strategy combines the Stochastic Momentum Index (SMI) and a fast RSI to generate long and short signals. It enters long when SMI is below its negative threshold or RSI is below its oversold level, with a bearish candle; short entries use the…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas impulss
Strategy library

This workflow automates a dollar-cost averaging process for cryptocurrency spot purchases. On a recurring hourly cycle, it gathers market data to calculate MACD, RSI, ATR, and OBV, and retrieves recent crypto news for AI-based short- and long-term sentiment…

KriptoaktīviTūlītējo darījumu tirgiTehniskie indikatoriTirgus noskaņojums
Strategy library

This strategy combines trend, momentum, volatility, volume, and optional pivot-pattern checks to generate directional signals. Price relative to short-term exponential moving averages establishes trend direction; a MACD histogram crossing zero signals a…

Tehniskie indikatoriCenas impulssSekošana tendenceiSvārstīgums