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

The described strategy combines MACD crossovers with RSI thresholds to trade short-term momentum on XRP/USDT. It proposes a long entry when RSI crosses upward through 30 while MACD crosses above its signal line. A short signal occurs when RSI crosses…

Cenas impulssTehniskie indikatoriRiska pārvaldībaNākotnes līgumi
Strategy library

The proposed system combines a 50-period exponential moving average with monthly contributions. Above the EMA, it opens a long position using accumulated capital and continues adding fixed contributions while invested; below the EMA, it closes positions and…

Sekošana tendenceiTehniskie indikatoriPozīcijas apjoma noteikšanaNākotnes līgumi
Strategy library

This strategy combines a 20-period simple moving average with bands set two standard deviations above and below it, alongside a 14-period RSI. The written rules pair price outside a band with an RSI move through an extreme threshold: price below the lower…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasSvārstīgumsNākotnes līgumi
Strategy library

The strategy describes using a 6-hour MACD to define the broader direction and a 1-hour MACD to seek reversal entries. In an upward higher-timeframe trend, a lower-timeframe bearish crossover is treated as a possible pullback before an upward reversal. RVI…

Tehniskie indikatoriCenas impulssRiska pārvaldībaNākotnes līgumi
Strategy library

This short-term strategy uses RSI crossing the 50 level for direction, with a 200-period EMA filter: longs require price above the EMA and shorts require price below it. It calculates stop-loss and take-profit levels using a 14-period ATR multiplied by a…

Nākotnes līgumiKriptoaktīviCenas impulssTehniskie indikatori
Strategy library

The described strategy combines a price crossover of a 100-period EMA with two sentiment-style measures: net unrealized profit and relative unrealized profit. It proposes a long entry when price crosses above the EMA and both measures are positive, and a…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines a short and long simple moving average crossover with SuperTrend direction to generate entries. A bullish crossover is accepted only when SuperTrend indicates an uptrend; a bearish crossover requires a downtrend. SuperTrend uses…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This strategy compares price deviations from three exponential moving averages to identify possible trend changes. It calculates each deviation as a percentage of price, using long, medium, and short lookback periods. The stated rules turn bearish when the…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This strategy identifies the current highest high or lowest low within a lookback window as a live swing point. A detected low prompts a long entry and a detected high prompts a short entry, subject to a cooldown between signals. It adds an EMA for trend…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This document describes an exponential moving average crossover approach applied to weekly, next-week, and quarterly futures contracts. It opens positions in either direction when a short EMA crosses a longer EMA, and exits on the opposing crossover or when…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This MetaTrader expert advisor combines the Andean Oscillator with daily high-low levels to generate scalping signals. A buy setup begins when the oscillator’s bullish component crosses above its signal line, subject to checks across prior bars for…

Valūtu tirgusTehniskie indikatoriRežģa tirdzniecībaRiska pārvaldība
Strategy library

This document outlines a breakout strategy that uses higher-timeframe candles to define a recent price range and detect potential directional setups. It tracks highs and lows from two prior candles, uses the preceding close to classify a setup, and places an…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This document presents a trend-following breakout strategy adapted from a futures implementation for Bitcoin futures. It calculates a moving average and standard deviation over a price window, then sets an upper threshold above the average. After recent…

Nākotnes līgumiKriptoaktīviCenas izrāviensSekošana tendencei
Strategy library

This document describes a dual moving average strategy that uses a fast average and a slow average to identify trend changes. A bullish crossover opens a long position, while a bearish crossover opens a short position. The example uses 10-period and…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This MetaTrader strategy combines a 50-period fast moving average and a 200-period slow moving average with the Andean Oscillator to trade EUR/USD, EUR/CAD, and USD/CAD. A bullish setup requires the oscillator’s bullish component to cross above its signal…

Valūtu tirgusVairāku aktīvu tirdzniecībaSekošana tendenceiTehniskie indikatori
Strategy library

This trend-following strategy generates a long signal when a fast moving average crosses above a slower one, and closes the long when the fast average crosses back below. The accompanying explanation presents crossovers as a way to identify possible trend…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

The document describes a dual-EMA framework using a shorter and longer average to label upward or downward conditions. In an upward condition, two consecutive bearish candles are described as a long setup; in a downward condition, two bullish candles form a…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This intraday approach seeks reversals after gaps between the prior daily close and the current daily open. It describes a minimum gap threshold, then combines a three-candle progression, the relationship between 50- and 200-period EMAs, and an optional…

AkcijasASV tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

The strategy uses the color of a midnight candle to choose a direction for a later entry. Its description says to go long after a green candle and short after a red one, with a one-hour delay intended to avoid trading during midnight volatility. The supplied…

KriptoaktīviNākotnes līgumiTehniskie indikatoriRiska pārvaldība
Strategy library

The system uses the color of higher-timeframe Heikin Ashi-style candles to set direction on a trading chart: bullish candles initiate or maintain a long bias, while bearish candles initiate or exit positions according to a selectable long-only or short-only…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines Stochastic K and D readings with volume, candle direction, and exponential moving averages. Long entries are described around upward turns from oversold levels, with rising K and D, stronger-than-average volume, and a bullish candle;…

Nākotnes līgumiKriptoaktīviCenas impulssTehniskie indikatori
Strategy library

This strategy uses a 20-period exponential moving average as a reference and forms a signal level from the current and previous bars’ highs or lows. It compares that level with the prior close to choose a long or short position, then maintains the resulting…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

This Pine strategy defines breakouts as closes beyond an ATR-based Keltner Channel, whose center is an exponential moving average. A configurable simple moving average filter classifies direction by whether the average is rising or falling, and the script…

Nākotnes līgumiCenas izrāviensSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses changes in RSI to time reversal entries on every price tick. It compares RSI momentum with a threshold based on the standard deviation of recent RSI changes, then applies an exhaustion factor to qualify long and short signals. The…

KriptoaktīviNākotnes līgumiCenas impulssAtgriešanās pie vidējās vērtības