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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
Quantpedia
86 documenten
TqSdk
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
Quantopian-colleges
45 documenten
Binance API docs
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
Lumibot strategies
7 documenten
QuantRocket
7 documenten
Awesome Quant
1 documenten

Doorzoek de bibliotheek

7,910 documenten

Strategy library

This strategy looks for sharp upward price moves and uses volume and a long-term moving average to filter entries. A long signal requires the close to rise by more than a configurable threshold from the previous close, remain within a specified maximum move,…

CryptoFuturesMomentumUitbraak
Strategy library

This trend-following system combines a smoothed EMA trend line with Supertrend confirmation. A long signal occurs when the trend line turns upward and Supertrend is bullish; a short signal uses a downward turn with bearish Supertrend. The strategy sets…

TrendvolgendTechnische indicatorenVolatiliteitRisicobeheer
Strategy library

This strategy computes Heikin-Ashi open and close values from ordinary candle data, then uses their relationship to assign each bar a bullish or bearish color. A change from bearish to bullish generates a long entry, while a change from bullish to bearish…

TrendvolgendTechnische indicatorenBacktesten
Strategy library

This strategy combines Ichimoku lines to define trend conditions with Parabolic SAR as a trade filter and trailing exit. A long signal requires price to cross above the base line while above the displaced second leading span and with the first leading span…

TrendvolgendUitbraakTechnische indicatorenRisicobeheer
Strategy library

This strategy uses RSI or, optionally, money flow index as its input, then forms bands from a moving average and standard deviation of that oscillator. A crossover above the upper band opens a long position, while a cross below the lower band opens a short…

TrendvolgendTechnische indicatorenBacktestenFutures
Strategy library

This script describes a long breakout system built around confirmed swing points. It enters when price clears a recent swing high, initially places a stop at the recent swing low, then raises that stop as higher lows form. The aim is to stay in an…

TrendvolgendUitbraakTechnische indicatorenRisicobeheer
Strategy library

This short-term mean-reversion approach combines Bollinger Bands, RSI, CCI and a five-period simple moving average. It looks for potential shorts near the upper band and longs near the lower band, using momentum and reversal indicators to confirm signals.…

Terugkeer naar het gemiddeldeTechnische indicatorenRisicobeheerPositiegrootte
Strategy library

This strategy uses Bull Bear Power (BBP), calculated from high and low prices relative to an EMA, as a directional signal. It standardizes BBP with a rolling Z-score: a move above a positive threshold opens a long, while a move below the negative threshold…

FuturesCryptoTechnische indicatorenVolatiliteit
Strategy library

This open-source strategy calculates daily Camarilla levels from the prior day’s price data, including the H4 resistance and L4 support levels. It enters long when the current close is above prior-day H4 and short when the close is below prior-day L4. The…

UitbraakTechnische indicatorenAandelenAmerikaanse markten
Strategy library

This Pine Script excerpt defines inputs and preliminary calculations for a configurable trading strategy. It combines a 15-minute directional filter based on price relative to an EMA, EMA slope, and RSI with chart-timeframe measures such as ATR, EMA…

Technische indicatorenMomentumRisicobeheerBacktesten
Strategy library

This trend-following strategy estimates historical volatility from the high-low range over a selected lookback, normalized by the average price range. It applies that volatility around the current close to create upper and lower bands, then smooths the bands…

FuturesUitbraakTrendvolgendVolatiliteit
Strategy library

This strategy combines Bollinger Bands with a bandwidth filter. The bands use a simple moving average and standard deviation; the stated defaults are a 16-period average and a multiplier of 3. Bandwidth is calculated from the distance between the outer bands…

FuturesTerugkeer naar het gemiddeldeVolatiliteitTechnische indicatoren
Strategy library

This strategy uses daily price action to set a directional bias, then looks for shorter-term breakouts. An uptrend is defined by a daily close above the previous day's high; a downtrend is defined by a close below the previous day's low. In the chosen…

FuturesUitbraakTrendvolgendRisicobeheer
Strategy library

This strategy uses a simple moving average and standard deviation to form dynamic upper and lower Bollinger Bands. It enters long when price crosses above the upper band and short when it crosses below the lower band. A long position closes when price falls…

FuturesUitbraakTrendvolgendVolatiliteit
Strategy library

This trend-following approach uses a fast and a slow exponential moving average to generate directional crossover signals, then filters them using a 50-period simple moving average. The example uses EMA periods of 9 and 21: a bullish crossover produces a…

Technische indicatorenTrendvolgendMomentumFutures
Strategy library

This strategy combines a simple moving average with RSI to form a normalized oscillator. It applies one RSI transformation when price is above the moving average and another when price is at or below it, then treats readings above the midpoint as bullish and…

Technische indicatorenTrendvolgendFuturesCrypto
Strategy library

This long-only entry strategy looks for a rebound after a decline, requiring several signals to agree before opening a position. It checks for a bullish candle and a close at a recent lookback high, then confirms upward momentum with RSI above 50, price…

Technische indicatorenMomentumUitbraakRisicobeheer
Strategy library

This example applies a linear support vector regression model to daily closes of the CSI 300 index. It constructs features from the current close and the preceding twenty daily closes, then fits the model to predict the following day’s close. The historical…

Chinese marktenAandelenMachine learningStatistiek
Strategy library

This document describes a short-term reversal strategy built around two moving averages. One average is used to gauge direction, while a second, scaled average provides crossover signals. When the first average is rising and the second crosses below it, the…

Terugkeer naar het gemiddeldeTechnische indicatorenRisicobeheerBacktesten
Strategy library

The document describes a long-oriented strategy built around a 200-period Hull moving average (HMA) and exponential moving average (EMA), with a 13-period RSI filter. It presents an HMA move above the EMA as a potential end to consolidation and permits…

CryptoFuturesMomentumTechnische indicatoren
Strategy library

This open-source Pine strategy combines a market-regime layer, directional bias, and momentum signals to guide allocation. Its inputs indicate that the regime model uses returns, volatility, and price efficiency, with a learning parameter and a trend gate.…

Technische indicatorenVolatiliteitMomentum
Strategy library

The visible script describes a moving-average crossover strategy with selectable SMA, EMA, or smoothed moving-average types and configurable short and long lengths. It also contains fixed settings for filters based on Bollinger Bands, RSI, MACD, stochastic…

Technische indicatorenTrendvolgendMomentumVolatiliteit
Strategy library

This indicator-based system uses the highest high and lowest low over a configurable lookback to define a trailing stop level. A close above the prior bar’s range high switches the system to an upward state; a close below the prior bar’s range low switches…

FuturesCryptoUitbraakTechnische indicatoren
Strategy library

This strategy uses the MACD line, signal line, and their histogram to generate directional signals. When the histogram crosses from negative to positive, the rules enter long; when it crosses back below zero, they enter short. The document frames these…

Technische indicatorenMomentumTrendvolgendFutures