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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
WonderTrader
14 documenten
Alphalens
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 trend-following method calculates four double exponential moving averages (DEMA) with periods of 10, 15, 21, and 30. The source enters long when they are aligned from shortest to longest, and enters short when their order is reversed. It closes either…

FuturesTrendvolgendTechnische indicatorenBacktesten
Strategy library

The document presents a trend-following strategy built around 50-, 144-, and 200-period exponential moving averages. Its written rules call for opening a long position when the faster average crosses above both slower averages and closing it when the faster…

FuturesTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This document describes an indicator that plots two SuperTrend calculations on one chart. Each uses an ATR period and multiplier, with separate fast and slow settings; the defaults use the same ATR period but different multipliers. The trend state changes…

Technische indicatorenTrendvolgendFuturesBacktesten
Strategy library

This strategy uses a fast KDJ oscillator on five-minute charts to seek reversals from extreme readings. It calculates K from the recent high-low range, smooths it minimally, and derives D and J from K. Long entries occur when K crosses below 5, with exits…

FuturesTechnische indicatorenTerugkeer naar het gemiddeldePositiegrootte
Strategy library

This stock-oriented strategy smooths highs and lows with separate smoothed moving averages (SMMA), then looks for price to move outside the resulting band. A close above the upper average creates a buy signal; a later confirmation requires the close and low…

AandelenUitbraakTechnische indicatorenOrderuitvoering
Strategy library

This document explains a trend-following approach using a Gaussian filter and filtered True Range to form a center line and surrounding channel. A price move above the upper band is used to open a long position, while a move back below that upper band closes…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This strategy derives a directional bias from whether a selected higher-timeframe candle closes above or below its open. It can generate long signals in a bullish candle state and short signals in a bearish state, subject to optional EMA and volume filters.…

TrendvolgendTechnische indicatorenOrderuitvoeringBacktesten
Strategy library

This short-term strategy combines an EMA trend filter with RSI extremes to seek mean-reversion trades. It considers the market upward-trending when price is above the EMA and downward-trending when below it. In an uptrend, RSI below 40 triggers a long entry;…

FuturesTerugkeer naar het gemiddeldeTechnische indicatorenRisicobeheer
Strategy library

This strategy builds a central price level from smoothed rolling highs and lows, then places volatility-adjusted thresholds around it. It uses an average of recent closes as the signal price: crossing above the upper band opens a long position, and crossing…

FuturesTrendvolgendVolatiliteitTechnische indicatoren
Strategy library

This strategy combines breakouts of recent swing levels with higher-timeframe trend direction. It identifies pivot highs and lows on the chart timeframe and as many as two higher timeframes, interpreting breaks above highs as upward trends and breaks below…

FuturesUitbraakTrendvolgendBacktesten
Strategy library

This XAUUSD strategy combines short-term EMA direction with confirmation from a higher timeframe. It checks whether the 9-period EMA is above or below the 15-period EMA on both five-minute and fifteen-minute charts, then requires a rejection candle in the…

GrondstoffenTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This document describes a trading system built around the Ichimoku Cloud. It outlines the conversion and base lines, leading spans, and lagging line, then uses the cloud as a trend and support or resistance reference. The described entries include price…

CryptoFuturesTechnische indicatorenUitbraak
Strategy library

This document presents a countertrend system intended for sideways markets. It combines a fast and a slower exponential moving average with simple moving averages, using the relationship between the exponential averages to set directional context and a…

Terugkeer naar het gemiddeldeTechnische indicatorenRisicobeheerBacktesten
Strategy library

This trend-following strategy combines two EMA comparisons to require alignment across short and longer horizons. It enters long when the 10-period EMA is above the 200-period EMA and the 20-period EMA is above the 50-period EMA; the short condition reverses…

CryptoFuturesTrendvolgendUitbraak
Strategy library

This reversal strategy combines price zones called order blocks with RSI confirmation. It defines bullish and bearish zones from candle patterns involving a move past a prior high or low, then tracks the relevant candle’s price range. A long signal occurs…

FuturesTerugkeer naar het gemiddeldeTechnische indicatorenRisicobeheer
Strategy library

This strategy uses a 10-period EMA and a 20-period EMA to generate directional signals. A cross of the short EMA above the long EMA opens a long position; a cross below opens a short position. It closes existing positions at a signal and sets take-profit and…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

The visible portion of this Pine strategy combines several technical tools into directional signals. It calculates a custom smoothed RSI, a QQE-style RSI with a trailing stop, Keltner Channel zones, and WaveTrend crossovers. The code assigns directional…

Technische indicatorenMomentumVolatiliteitTrendvolgend
Strategy library

This basic trend-following strategy compares a fast simple moving average with a slower one. With the published lengths of 9 and 21, it enters long when the fast average crosses above the slow average and short when it crosses below. The averages are…

TrendvolgendTechnische indicatorenFuturesBacktesten
Strategy library

The Twin Range Filter strategy builds a price-following filter from two exponentially smoothed measures of absolute price changes, each using a different period and multiplier. It averages the resulting ranges and adjusts the filter according to whether…

FuturesCryptoTrendvolgendVolatiliteit
Strategy library

This Bitcoin strategy combines normalized trend, momentum, mean-reversion, volume, and price-slope features into a weighted score. A long position opens when the scaled score exceeds a threshold while the fast EMA is above the slow EMA and price remains…

CryptoMomentumTrendvolgendRisicobeheer
Strategy library

The document describes a strategy that combines a moving-average crossover with a binary indicator based on whether consecutive bar ranges are positively correlated. It smooths that indicator and uses a threshold to permit long entries when price crosses…

FuturesCryptoMachine learningStatistiek
Strategy library

This document presents a long-only trend strategy using a volatility-scaled upper price band for entry and a short exponential moving average for exit. The described entry requires price to cross above the moving average of the Upperband and to satisfy an…

FuturesCryptoUitbraakTrendvolgend
Strategy library

This strategy uses Average True Range (ATR) to create adaptive upper and lower bands for identifying trend changes. With the stated default settings, it calculates volatility over a configurable lookback and scales the bands by an ATR multiplier. The code…

CryptoFuturesTrendvolgendVolatiliteit
Strategy library

The document describes a momentum strategy that pairs Stochastic Momentum Index (SMI) crossovers with standard pivot levels. It outlines an SMI calculation based on a price source’s position within its recent high–low range, followed by two moving-average…

FuturesCryptoMomentumTechnische indicatoren