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Kennisbibliotheek

Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.

Quant Q&A
20,364 documenten
SuperMind
12,226 documenten
OKX Learn
8,431 documenten
Strategy library
7,910 documenten
MQL5 code base
7,090 documenten
BigQuant
3,481 documenten
Bitget Academy
3,298 documenten
MQL5 articles
3,012 documenten
TradingView scripts
1,976 documenten
ProRealCode
1,507 documenten
Deribit Insights
1,232 documenten
Machine Learning for Trading
1,124 documenten
arXiv papers
1,033 documenten
Amberdata research
766 documenten
FMZ forum
682 documenten
FMZ digest
662 documenten
vn.py community
560 documenten
QuantInsti blog
511 documenten
Galaxy Research
340 documenten
QuantStart
246 documenten
Stratmill research code
219 documenten
Robot Wealth
195 documenten
NautilusTrader
191 documenten
Hummingbot docs
181 documenten
Paradigm research
175 documenten
Lumibot
164 documenten
Kraken Learn
163 documenten
Bibliotheek quantcursussen
157 documenten
OctoBot
152 documenten
Cryptohopper blog
144 documenten
Systematic trading blog (Rob Carver)
132 documenten
Qlib
116 documenten
TqSdk
86 documenten
Quantpedia
86 documenten
Hyperliquid docs
79 documenten
Freqtrade
68 documenten
Hudson & Thames
62 documenten
Awesome Systematic Trading
61 documenten
backtrader
54 documenten
vn.py
50 documenten
Binance API docs
45 documenten
Quantopian-colleges
45 documenten
FMZ guides
38 documenten
pysystemtrade
34 documenten
Freqtrade docs
32 documenten
quant-trading
31 documenten
FinRL
28 documenten
Zipline
22 documenten
FMZ live strategies
21 documenten
Jesse
17 documenten
pyfolio
16 documenten
Alphalens
14 documenten
WonderTrader
14 documenten
backtesting.py
11 documenten
Technical Analysis
9 documenten
QTPyLib
8 documenten
QuantRocket
7 documenten
Lumibot strategies
7 documenten
Awesome Quant
1 documenten

Doorzoek de bibliotheek

7,910 documenten

Strategy library

This strategy uses the difference between the prior period’s high and the prior period’s exponential moving average of closing prices. With the default EMA length of 13, a positive difference selects a long position and a negative difference selects a short…

Technische indicatorenTrendvolgendFuturesBacktesten
Strategy library

The document’s prose describes a dual moving average trend-following strategy, but the included source code implements a different method: an SMI Ergodic oscillator, a normalized measure based on smoothed price changes. It applies successive exponential…

Technische indicatorenTrendvolgendMomentumFutures
Strategy library

This example describes a spread-trading strategy that manages long and short spread positions through separate opening and closing algorithms. During a configured session, it starts both long-entry and short-entry algorithms when flat, using target prices, a…

FuturesOrderuitvoeringMarktmicrostructuurPositiegrootte
Strategy library

This indicator-combination strategy uses an EMA to identify trend direction, Parabolic SAR to mark potential reversals, and TTM Squeeze to assess volatility and momentum. Its description says long signals combine upward price movement across the EMA and PSAR…

Technische indicatorenMomentumVolatiliteitRisicobeheer
Strategy library

This strategy combines RSI with Bollinger Bands to generate long and short signals. Its stated idea is to buy during oversold conditions near the lower band and sell during overbought conditions near the upper band. The published code uses cross events: RSI…

Technische indicatorenMomentumVolatiliteitFutures
Strategy library

This long-only strategy classifies conditions using the slope of a 20-period EMA and whether price is above or below it, producing four market states. Each state selects a different pair of moving average types and periods from SMA, EMA, RMA, and HMA. A…

TrendvolgendTechnische indicatorenMachine learningBacktesten
Strategy library

This strategy uses a fast and slow simple moving average to identify trend changes. A bullish crossover prompts a long entry, while the implementation also describes closing a long when price crosses the slow average. The accompanying explanation presents…

TrendvolgendTechnische indicatorenBacktestenRisicobeheer
Strategy library

This Bitcoin strategy seeks to stay long during sustained uptrends. It uses price above a 20-week exponential moving average as its higher-timeframe trend filter, then checks for a caution state based on a sharp retreat from a recent high or a close below…

CryptoFuturesMomentumTrendvolgend
Strategy library

This strategy treats a confirmed candle opening at its low as a long signal and opening at its high as a short signal. It enters a fixed-size position, sets a stop using the recent seven-bar extreme adjusted by ATR, and places a profit target at a…

UitbraakTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This strategy compares closing price with a volume-weighted average price and a modified Quantitative Qualitative Estimation indicator. It signals long when the close is above both values and short when it is below both. VWAP weights prices by trading…

CryptoFuturesTechnische indicatorenMomentum
Strategy library

This strategy compares two smoothed Coral Trend lines, each formed from repeated exponential smoothing with a sensitivity adjustment. It generates a long entry when the faster line crosses above the slower line. The document frames the method for longer…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This configurable strategy uses one selected indicator family at a time: moving averages, MACD, or Bollinger Bands. The described moving-average mode trades price crossings; MACD mode uses crossings between its line and signal line; and Bollinger Band mode…

Technische indicatorenBacktestenPositiegrootteRisicobeheer
Strategy library

This short-term trend-following system combines a fast and slow moving average filter with MACD crossovers for entries. It takes longs when price and moving-average conditions indicate an uptrend and MACD crosses upward, and shorts under the corresponding…

CryptoFuturesTrendvolgendMomentum
Strategy library

This strategy combines Heikin-Ashi candles with exponential moving averages to seek medium- to long-term cryptocurrency trends. The source smooths price data with a 50-period EMA, applies Heikin-Ashi calculations, then smooths those values with a 100-period…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This example explains how time-in-force settings affect the lifetime of limit orders. Good-til-canceled orders remain active until filled or canceled; day orders expire at the market close; and good-til-date orders remain active through a specified date,…

OrderuitvoeringAandelenBacktesten
Strategy library

This strategy combines SuperTrend readings from multiple timeframes with Bollinger Bands to trade directional breakouts. It enters long when the close is above the upper band and above the referenced SuperTrend levels; a short entry requires a close below…

FuturesUitbraakTrendvolgendTechnische indicatoren
Strategy library

This futures strategy seeks a mean-reversion trade when price returns to the prior session’s value area after closing outside it. For a long setup, the prior close must be below value area low; for a short setup, it must be above value area high. Price must…

FuturesTerugkeer naar het gemiddeldeStatistiekRisicobeheer
Strategy library

This long-only strategy enters when a fast, smoothed exponential moving average crosses above a slower, smoothed EMA and exits on the reverse crossover. Position size is based on current equity multiplied by a configurable leverage factor; the published…

AandelenTrendvolgendTechnische indicatorenPositiegrootte
Strategy library

This strategy uses RSI to initiate a long position during an oversold reading, then adds to the position as price falls. The stated defaults are a 14-period RSI and a threshold of 30; the first purchase uses 5% of account equity. The document describes…

CryptoSpotmarktenTerugkeer naar het gemiddeldeTechnische indicatoren
Strategy library

This trend strategy looks for regular or hidden divergence between price swings and a selectable indicator, then confirms entries with a Murrey Math oscillator derived from a Donchian channel. The divergence detector can use RSI, MACD, stochastic, volume,…

Technische indicatorenTrendvolgendFuturesCrypto
Strategy library

The Kairou strategy combines Ichimoku levels, MACD, Chaikin Money Flow (CMF), and the True Strength Index (TSI) to identify medium- to long-term directional trades. A long signal requires Tenkan above Kijun, positive Chikou momentum, price above the cloud, a…

FuturesTechnische indicatorenMomentumRisicobeheer
Strategy library

This trend-following strategy calculates fast, medium, and slow exponential moving averages using periods of 10, 25, and 50. A bullish signal requires the fast average to cross above the slow average while the medium average is already above it; the inverse…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This strategy looks for short-term momentum using sequences of Heikin-Ashi candles. A long setup begins with a bearish candle, then requires three bullish candles without lower wicks, each of the latter two having a larger body than the preceding one. The…

CryptoTechnische indicatorenMomentumVolatiliteit
Strategy library

This strategy uses RSI threshold crossings to generate long and short entries, with a 200-period EMA and the prior daily close as additional conditions. The described long setup crosses above the lower RSI threshold while price is below both references; the…

CryptoFuturesTechnische indicatorenTerugkeer naar het gemiddelde