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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
Lumibot strategies
7 documenten
QuantRocket
7 documenten
Awesome Quant
1 documenten

Doorzoek de bibliotheek

7,910 documenten

Strategy library

This strategy combines three exponential moving averages with the Directional Movement Index (DMI) and MACD to identify directional entries. The 34, 89, and 200 period EMAs are described as short, medium, and longer term trend references, while the stated…

TrendvolgendTechnische indicatorenMomentumFutures
Strategy library

This document describes a long-only moving average crossover system built around prices recorded during unusual liquidity events. It measures liquidity as volume divided by the absolute open-to-close price change, then sets an outlier boundary using an…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This strategy uses crossovers of 8- and 21-period weighted moving averages to signal long or short positions. An optional filter requires ATR to decline over three consecutive bars before a crossover is acted on. Its risk rules allow a position to move…

FuturesTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This document presents a two-sided Bitcoin strategy that combines short- and long-period simple moving average crossovers with Ichimoku cloud and volume filters. A bullish crossover qualifies only when price is above both displaced cloud spans and volume…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This document describes a trend-following approach using MACD crossovers on multiple timeframes. It proposes entering long after a bullish crossover on a 15-minute chart and closing positions when a bearish crossover appears on a 4-hour chart. The listed…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This strategy builds upper and lower thresholds from moving averages of recent highs and lows. It expands those averages by half the distance between them, treating the resulting bands as breakout levels. A move above the upper threshold or below the lower…

CryptoFuturesUitbraakTechnische indicatoren
Strategy library

This crypto strategy combines RSI threshold crossings with a simple moving average to define long and short entries. It also proposes using a benchmark market series in place of the traded instrument’s own price bars, with the stated aim of filtering signals…

CryptoFuturesTechnische indicatorenMomentum
Strategy library

This document outlines a multi-indicator strategy that uses Bollinger Bands and RSI to identify potential long entries near the lower band and short entries near the upper band. It adds ADX as a trend-strength filter, with stronger readings described as…

CryptoFuturesTechnische indicatorenTrendvolgend
Strategy library

This strategy combines a moving average and RSI to generate trades within a chosen calendar window. It calculates an RSI on the moving average, enters long when RSI crosses above its lower threshold, and enters short when RSI crosses below its upper…

CryptoFuturesTechnische indicatorenTrendvolgend
Strategy library

This statistical-arbitrage demo tracks closing prices for two instruments, takes their logarithms, and uses the difference as a spread signal. When the spread crosses configured positive or negative thresholds, it opens opposing legs: short the first…

StatistiekPairstradingTerugkeer naar het gemiddeldeRisicobeheer
Strategy library

This script turns the prior week’s high and low into support and resistance references, then assigns a directional position from the current bar’s range relative to those levels. In one mode, a bar fully below the prior low indicates a short bias and a bar…

Technische indicatorenUitbraakTrendvolgendBacktesten
Strategy library

This document describes a read-only scanner for comparing perpetual futures funding rates across centralized and on-chain venues. It converts rates with different settlement intervals to annualized values and an equivalent eight-hour spread, then pairs the…

CryptoPerpetuele futuresArbitrageCarry
Strategy library

This intraday strategy uses a one-hour EMA relationship to set directional bias, then seeks entries on a 15-minute chart through EMA crossovers or price crossing VWAP after approaching it. RSI ranges filter momentum, while an ATR-based measure screens for…

TrendvolgendMomentumTechnische indicatorenRisicobeheer
Strategy library

This strategy calculates a Woodie pivot from the previous period’s high, low, and close, weighting the close twice. It tracks whether price crosses the pivot: a move from below to above sets a long state, while a close below the pivot sets a short state. An…

FuturesUitbraakTechnische indicatorenBacktesten
Strategy library

This cryptocurrency strategy combines a large absolute price change over a lookback window with an extreme Stochastic RSI reading. It enters long when the move threshold is met and either the smoothed %K or %D is below 3; it enters short when the threshold…

CryptoFuturesTechnische indicatorenMomentum
Strategy library

This system describes an adaptive long/short strategy for Binance USDⓈ-M perpetual contracts. It starts from five seed factors spanning momentum, reversal, funding, premium, and open interest, then evaluates additional candidates through a constrained factor…

CryptoPerpetuele futuresFactorbeleggenPortefeuilleconstructie
Strategy library

This trend-following method uses a Kijun baseline to define direction and an ATR envelope to avoid entries when price has moved beyond the channel. Aroon crossovers trigger candidate entries, while MACD, RSI, and Parabolic SAR confirm direction. Longs are…

FuturesTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

The excerpt describes a long-only Bitcoin trend strategy that combines three smoothed EMAs with filters for trend structure, price-path efficiency, momentum persistence, volatility, and breakouts. It requires the fast, middle, and slow EMAs to be ordered…

CryptoTrendvolgendMomentumTechnische indicatoren
Strategy library

The Mustang strategy uses a smoothed MACD-derived trend line to define bullish and bearish zones. With the stated 12/26/9 MACD settings and a five-period smoothing step, a cross above zero is treated as a long signal and a cross below zero as a short signal.…

MomentumTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This strategy combines higher- and lower-timeframe trend checks to generate long and short signals. It calculates moving averages, Supertrend, and Ichimoku components on a selected higher timeframe, then compares Supertrend direction with the chart…

TrendvolgendTechnische indicatorenFuturesBacktesten
Strategy library

The strategy describes a long setup, mirrored for shorts, that seeks a reversal after price has moved away from the session VWAP. It looks for a low of day, a turn in price, and then an upward 9 EMA cross of VWAP. The proposed stop is placed using the…

Technische indicatorenMomentumRisicobeheerBacktesten
Strategy library

The document presents a long-signal concept that combines a TTM-style volatility squeeze, a linear-regression momentum histogram, and 9- and 21-period EMAs. It looks for a squeeze state followed by two bars outside the squeeze, positive and rising momentum,…

Technische indicatorenVolatiliteitMomentumOpties
Strategy library

This sample strategy uses a pair of exponential moving averages as a trend filter, then times entries with RSI and price position. Long entries require the fast EMA to be above the slow EMA, RSI to cross above 40, and the close to exceed the fast EMA. Short…

Technische indicatorenTrendvolgendMomentumRisicobeheer
Strategy library

This strategy combines the Schaff Trend Cycle (STC) with two moving averages to define directional entries. A long signal occurs when STC crosses above 25, the faster average is above the slower one, and price is above the faster average. A short signal uses…

Technische indicatorenTrendvolgendMomentumFutures