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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 document outlines an intraday USDJPY strategy using RSI, Parabolic SAR, and simple moving averages. The stated long setup requires price above a long-term SMA, a shorter SMA above a longer one, and RSI crossing upward through its oversold threshold. The…

ValutahandelTechnische indicatorenTrendvolgendBacktesten
Strategy library

The script describes a scalping strategy that combines a range filter, smoothed Heikin-Ashi candles, and higher-timeframe Heikin-Ashi direction to seek agreement before trading. An SMI filter is intended to avoid entering after an already extended move. The…

TrendvolgendTechnische indicatorenRisicobeheerPositiegrootte
Strategy library

This document explains a trend strategy built around an ATR-based trailing stop. ATR estimates recent price movement, and a user-selected multiplier sets the stop distance. The stop is intended to move with favorable price action while remaining fixed when…

TrendvolgendTechnische indicatorenVolatiliteitRisicobeheer
Strategy library

This document describes a trend-following system that combines Donchian Channel breakouts with a long-term SMA trend filter and an RSI entry filter. It enters long positions when price breaks above the entry channel while above the SMA, and short positions…

TrendvolgendUitbraakTechnische indicatorenRisicobeheer
Strategy library

This example combines RSI threshold crossings with position sizing tied to account equity. It opens a long position when RSI rises through the oversold level and a short when RSI falls through the overbought level. Contract quantity is calculated from…

FuturesCryptoMomentumPositiegrootte
Strategy library

This crossover system compares a fast moving average with a slower one. A fast-line cross above the slow line opens a long position, and a cross below opens a short position. The description identifies both lines as EMAs, but the published code calculates…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This Pine Script template separates strategy signals from the mechanics of backtesting. Users supply long and short entry and exit conditions; the example uses a 50-period and 200-period simple moving average crossover. Inputs can enable either direction,…

BacktestenTechnische indicatorenPositiegrootteRisicobeheer
Strategy library

The strategy treats the MACD histogram as a momentum wave, calculated from the difference between fast and slow EMAs and a smoothed signal line. It enters long when the histogram crosses above a configurable entry level and short when it crosses below.…

CryptoMomentumTechnische indicatorenBacktesten
Strategy library

This Pine Script strategy turns a WaveTrend oscillator into long entry and exit signals. It computes a normalized deviation of a chosen price source from an exponential average, smooths that measure, and detects crossovers between the resulting wave and its…

Technische indicatorenMomentumBacktesten
Strategy library

This script compares two moving-average momentum strategies. Its MACD variant uses exponential averages of closing prices, while its Awesome Oscillator uses simple averages of the high-low midpoint. Both use short and long averages, with the Awesome…

Technische indicatorenMomentumBacktestenRisicobeheer
Strategy library

This strategy uses VWAP as a price reference and constructs upper and lower bands at 1.618 and 2.618 standard deviations. A long signal occurs when price moves back upward through the inner lower band, while a short signal occurs when price moves downward…

FuturesCryptoTrendvolgendVolatiliteit
Strategy library

This strategy uses Stochastic %K and %D crossovers to initiate long and short positions. It identifies recent pivot lows and highs to set direction-specific stop prices, then combines those stops with profit-taking exits. The example includes a partial exit…

FuturesCryptoTechnische indicatorenRisicobeheer
Strategy library

APEX V2 is presented as a configurable trading strategy that combines several analytical modules and can enable long trades, short trades, or both. Its settings include a multi-indicator confluence requirement, with a minimum agreement count, alongside…

Technische indicatorenMomentumTerugkeer naar het gemiddeldeVolatiliteit
Strategy library

This trend-following system combines AlphaTrend, which uses ATR-based channels and MFI or RSI to indicate direction, with Kaufman’s Adaptive Moving Average (KAMA). It enters long when KAMA crosses above AlphaTrend and short when it crosses below. A…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This strategy switches between trend-following and counter-trend entries according to an RSI-based regime rule. It uses 3- and 8-period EMAs for crossover signals, a 55-period EMA and 5-versus-20-period simple averages to check direction, and RSI distance…

FuturesCryptoTrendvolgendTerugkeer naar het gemiddelde
Strategy library

This Python strategy constructs a spread from two instrument prices weighted by configurable leg ratios. It updates the spread periodically and, after collecting enough observations, calculates a rolling mean and standard deviation over a 20-observation…

PairstradingTerugkeer naar het gemiddeldeStatistiekOrderuitvoering
Strategy library

This strategy combines 9- and 21-period exponential moving average crossovers with volatility-scaled exits. It opens a long position when the faster average crosses above the slower one and a short position on the opposite cross. A 14-period ATR sets the…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This TradingView strategy generates directional signals for Sensex options using the index chart. It signals a call-side trade when price is above the 200-period EMA, RSI is above 60, ADX is above 20, volume exceeds its 20-period average, and the market is…

OptiesAandelenTechnische indicatorenRisicobeheer
Strategy library

This trend strategy combines a Bollinger Band and Keltner Channel squeeze measure, a volume-weighted RSI, and Parabolic SAR. It looks for squeeze conditions alongside a bullish or bearish RSI reading and SAR position, then seeks an entry when the combined…

FuturesTechnische indicatorenTrendvolgendVolatiliteit
Strategy library

This strategy combines Stochastic RSI direction with an EMA-smoothed rate-of-change filter. A K value above D is treated as bullish and below D as bearish; a sufficiently positive or negative rate of change is used to require active price movement before…

FuturesTechnische indicatorenTrendvolgendRisicobeheer
Strategy library

This strategy uses Bollinger Bands to define possible reversal entries and the middle band as an exit level. A close moving upward through the lower band triggers a long entry, which is closed when price rises above the middle band. A downward move through…

ValutahandelTechnische indicatorenTerugkeer naar het gemiddeldeBacktesten
Strategy library

This Pine strategy uses two configurable moving averages calculated on a selected higher timeframe. Its defaults are 20- and 50-period exponential averages on hourly data, though users can choose other supported average types, sources, lengths, and…

Technische indicatorenTrendvolgendRisicobeheerBacktesten
Strategy library

This strategy combines a DEMA-based price difference measure, RSI, and Bollinger Bands to produce long and short signals. Its DPD component compares price with a double exponential moving average; RSI marks overbought and oversold conditions, while the bands…

AandelenTechnische indicatorenTerugkeer naar het gemiddeldeBacktesten
Strategy library

This medium- to long-term trend-following approach uses a paired SR indicator and signal line. The SR line is formed from weighted and simple moving averages, and a crossover with its signal line supplies directional cues. The strategy also constructs…

FuturesCryptoTrendvolgendTechnische indicatoren