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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 Williams %R extremes to generate reversal entries and the direction of a short-period ATR as a confirming filter. A cross back above the oversold threshold triggers a long signal when ATR is rising; a cross below the overbought threshold…

CryptoFuturesTerugkeer naar het gemiddeldeVolatiliteit
Strategy library

This is a long-only trend-following method that combines an EMA direction filter with breakouts above prior highs. It enters when the close crosses above a high from either of two lookback windows while price is above the EMA. A minimum interval between…

CryptoTrendvolgendUitbraakTechnische indicatoren
Strategy library

The document describes a trend-following system that changes its moving-average behavior with market conditions. It uses ADX and moving-average slope to identify strong trends or sideways markets, tracks an EMA during trends, and holds the average level…

TrendvolgendTechnische indicatorenRisicobeheerVolatiliteit
Strategy library

This strategy combines EMA trend signals, RSI thresholds, and supply and demand zones to time entries. It uses a 50-period EMA crossing a 200-period EMA to identify direction, then requires price to move beyond an EMA and RSI to meet a directional threshold.…

CryptoFuturesTrendvolgendMomentum
Strategy library

This long-only strategy opens a position when MACD crosses above its signal line while the positive directional movement value exceeds the negative one. It exits when price reaches a fixed profit target or crosses below a volatility stop. The stop trails…

MomentumTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This short-term strategy combines RSI, the Choppiness Index, and Stochastic crossovers to generate entries. It calls for a long when RSI is below 30, CHOP is below 50, and the Stochastic K line crosses above D; a short uses RSI above 70, CHOP below 50, and a…

Terugkeer naar het gemiddeldeTechnische indicatorenRisicobeheerFutures
Strategy library

This strategy combines Keltner Channels, Ichimoku conversion and baseline lines, and a moving average to trade breakouts in the direction of a trend. A move above the upper Keltner boundary can trigger a long entry when the Ichimoku conversion line is above…

UitbraakTrendvolgendTechnische indicatorenFutures
Strategy library

This QuantConnect example demonstrates registering common technical indicators, sending them selected data fields, and plotting their values. It sets up daily equity data alongside a custom data stream, then configures indicators such as Bollinger Bands,…

AandelenTechnische indicatorenOrderuitvoering
Strategy library

This strategy combines RSI, Stochastic, and MACD to classify each bar as bullish, bearish, or mixed. A long entry is triggered when a bullish bar follows a bearish or mixed bar; a short entry uses the reverse transition. Entries are placed just beyond the…

MomentumTechnische indicatorenRisicobeheerBacktesten
Strategy library

This trend-following system uses a 9-period EMA crossing a 26-period EMA to trigger long or short entries. It places a fixed stop 90 ticks from the entry and a profit target 270 ticks away, reversing the direction of both levels for short trades. The script…

FuturesTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This strategy uses a 3-period EMA and a 30-period EMA to define directional signals. It compares their difference with fixed thresholds: a value above 0.0005 signals a long entry, while a value below -0.0005 signals a short entry. Signals are shown on the…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This strategy derives a momentum oscillator from RSI by fitting a local polynomial to the RSI series, smoothing the signal, and measuring its time derivative as Delta-RSI. It compares that derivative with zero or an EMA signal line, and can also trade when…

MomentumTechnische indicatorenStatistiekBacktesten
Strategy library

This chart-based approach describes using a 13/21 moving-average crossover on one- to four-hour altcoin charts, with Heikin-Ashi candles and a Fibonacci retracement level as additional entry checks. A positive crossover is considered only after the candle…

CryptoTechnische indicatorenTrendvolgendBacktesten
Strategy library

This strategy combines a short and long simple moving average crossover with an ATR-based volatility condition. A bullish crossover creates a long signal and a bearish crossover creates a short signal, provided current ATR is above a user-scaled average ATR…

Technische indicatorenVolatiliteitTrendvolgendRisicobeheer
Strategy library

The document proposes reading each bar through two dimensions: where its close falls within its own high-low range, and how that close relates to the previous bar’s range. Close location is divided into upper, middle, or lower thirds, while the close…

Technische indicatorenStatistiek
Strategy library

This short-term strategy combines 5- and 13-period EMAs, a 50-period trend EMA, and standard MACD settings to identify momentum-aligned entries. Long signals require the fast EMA to cross above the slow EMA, MACD to cross above its signal line with a rising…

MomentumTechnische indicatorenTrendvolgendRisicobeheer
Strategy library

This trend-following strategy uses three exponential moving averages to time entries, with the document describing periods of 7, 14, and 21. It enters long when price crosses above all three averages and short when price crosses below them. An ATR-based…

TrendvolgendTechnische indicatorenVolatiliteitRisicobeheer
Strategy library

This short-horizon breakout approach combines MACD histogram direction with a moving-average filter and recent price extremes. A long signal requires a positive, rising histogram, a close above the average, and a close above the highs of the prior three…

UitbraakMomentumTechnische indicatorenGrondstoffen
Strategy library

This strategy combines moving-average direction, RSI, ADX, OBV, candlestick patterns, volume, and a trading-session filter to seek entries during stronger trends. The described framework uses 50- and 200-period EMAs for the broad trend, an ADX threshold of…

TrendvolgendTechnische indicatorenRisicobeheerPositiegrootte
Strategy library

This strategy uses a smoothed Relative Volatility Index (RVI), called the inertia indicator, to classify trend direction. It calculates closing-price standard deviation, assigns that volatility to the up or down side according to the close-to-close move,…

TrendvolgendTechnische indicatorenVolatiliteitFutures
Strategy library

This strategy treats a move back across an RSI threshold as a potential trend-continuation signal when price keeps moving in the same direction. It enters long when RSI was above the overbought threshold three bars earlier, has since fallen below it, and the…

FuturesMomentumTrendvolgendTechnische indicatoren
Strategy library

This strategy combines gap-triggered entries with reversal-related stop entries and exits based on average position price. It identifies upward gaps when the open exceeds the prior high and downward gaps when the open falls below the prior low, placing stop…

FuturesUitbraakTrendvolgendRisicobeheer
Strategy library

This cryptocurrency trading script polls configured markets and submits orders when prices enter user-defined buy or sell ranges. It uses the ask price to check the buy range and the bid price to check the sell range, then places orders at the opposite side…

CryptoSpotmarktenOrderuitvoeringPositiegrootte
Strategy library

This intraday strategy combines price breakouts with trend and momentum filters. A long signal requires a five-minute close above the 21-period SMA high, VWAP, and 50-period EMA, with RSI above 60. A short signal requires the close below the SMA low, VWAP,…

Technische indicatorenMomentumUitbraakRisicobeheer