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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

The described method uses the prior day's high, low, and close to derive a pivot reference, then considers long trades when price reaches support and short trades when it reaches resistance. ATR sets volatility-scaled stop-loss and take-profit distances,…

CryptoFuturesTechnische indicatorenRisicobeheer
Strategy library

This strategy uses a higher timeframe to establish direction from a break of structure (BOS), then searches a lower timeframe for a fair value gap (FVG) as a potential entry area. The described long setup combines an upward structure break with an upward gap…

CryptoFuturesUitbraakTechnische indicatoren
Strategy library

This intraday trend-following strategy derives three moving-average series by applying selected Fourier sinusoidal components to price, then smoothing them with a configurable moving-average type. It enters long when the fast series is above the middle…

TrendvolgendTechnische indicatorenPositiegrootteRisicobeheer
Strategy library

This strategy combines a 20-period and 200-period EMA crossover with an RVI direction check and a third, external buy or sell signal. A long entry requires all three conditions to align; short entries reverse them. ATR is used to set stop-loss and…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This example pairs a long-entry trigger from a WaveTrend crossover with layered exit management. It describes four percentage-based profit targets that can close portions of a position, alongside potential target levels drawn from 100- and 200-period…

CryptoFuturesTechnische indicatorenRisicobeheer
Strategy library

This long-only strategy compares price with three Bollinger Band envelopes calculated over 20, 120, and 240 periods, each using a simple moving average and bands two standard deviations away. It enters a long position when the close is below all three lower…

CryptoTrendvolgendUitbraakTechnische indicatoren
Strategy library

This strategy uses a fast and a slow exponential moving average to identify possible trend changes. A fast EMA crossing above the slow EMA triggers a long entry when RSI is below its overbought threshold; a cross below prompts a short entry when RSI is above…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This strategy uses a fast and a slow exponential moving average to identify possible trend changes. A bullish crossover generates a long entry signal, while a bearish crossover closes longs and can open shorts. RSI acts as a filter: the long entry requires…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This example demonstrates a lightweight account event stream: it requests a Binance user data listen key, opens a WebSocket connection for that stream, and renews the key every 30 minutes. It filters incoming account events for trade execution reports and…

CryptoOrderuitvoeringMarktmicrostructuur
Strategy library

WJ Strategy B builds a composite score from three kinds of weakness: price below the lower Bollinger Band, price below progressively longer moving averages, and low RSI readings. When the score reaches at least 3, the strategy starts monitoring rather than…

Terugkeer naar het gemiddeldeTechnische indicatorenPositiegrootteRisicobeheer
Strategy library

This strategy combines short-term signals with a higher-timeframe trend filter. It uses a custom order-block calculation based on the recent high-low range, SMA crossovers for short-term direction, and 1-hour EMA 50 and EMA 200 values to define the broader…

FuturesTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This strategy buys when a 14-period relative strength index (RSI), calculated on 30-minute data, falls below 30. It is described as a multi-timeframe setup for trading on a 1-hour chart. After entry, the script records a take-profit price set at a default 3%…

FuturesTerugkeer naar het gemiddeldeTechnische indicatorenRisicobeheer
Strategy library

This short-term strategy signals long trades when price crosses above a simple moving average (SMA) and short trades when it crosses below. Its default SMA length is 20, and it closes positions when the bar’s high or low reaches a fixed point target relative…

FuturesMomentumTechnische indicatorenRisicobeheer
Strategy library

This strategy uses the 200-period exponential moving average (EMA) as a directional filter: long entries are allowed above it and short entries below it. The source also uses crossovers between 14- and 28-period simple moving averages (SMAs) to trigger…

FuturesTrendvolgendTechnische indicatorenVolatiliteit
Strategy library

This example uses a RidgeClassifier to predict whether each crypto futures asset’s next closing price will rise or fall. For features, it takes the logarithms of recent closing prices from three other futures contracts, then fits a separate classifier for…

CryptoFuturesMachine learningBacktesten
Strategy library

This strategy description proposes combining short and long EMAs for direction with RSI, MACD, Bollinger Bands, volume, and ADX as additional filters. It also describes a stop distance based on ATR. The stated concept is to seek trades using several kinds of…

FuturesTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This document introduces a Bitcoin strategy intended for 1-hour charts. It describes a multi-timeframe engulfing setup with stop-loss flips, pyramiding, and tuned indicators. The visible settings include equity-based trade sizing, a drawdown halt, a capped…

CryptoTechnische indicatorenRisicobeheerPositiegrootte
Strategy library

This example demonstrates how to combine incoming futures quote data into larger time-based bars for use in an algorithm. It subscribes to an S&P 500 E-mini futures chain, filters contracts by expiry, and creates a five-minute quote-bar consolidator for each…

FuturesMarktmicrostructuurOrderuitvoering
Strategy library

This swing-trading framework combines SuperTrend for direction, ADX for trend strength, and a volume-based liquidity delta for buying and selling pressure. Optional Parabolic SAR adds another directional check. The described logic produces a signal only when…

Multi-assetTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This trend-following method calculates price momentum as the percentage change over a lookback period, then normalizes recent momentum values to a zero-to-one range. It compares the normalized reading with a midpoint threshold and checks price relative to a…

FuturesTrendvolgendMomentumTechnische indicatoren
Strategy library

This strategy combines a long-term EMA alignment filter with pullback entries and volatility-based exits. It identifies an uptrend when the 20-, 50-, 100-, and 200-period EMAs are ordered from shortest to longest, then enters long when price is between the…

FuturesTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This document describes a trend strategy using a 10-period fast EMA and a 20-period slow EMA. The fast average above the slow one marks bullish direction and below it marks bearish direction; the source enters long or short according to that state. It also…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This short-term strategy combines a 21-period and 65-period EMA pair, RSI, and ATR. The description presents the EMA cross as a broad trend filter and RSI above or below 50 as a directional check. Its source triggers entries when price moves beyond an…

FuturesCryptoHoogfrequente handelTechnische indicatoren
Strategy library

This strategy uses a short and a long exponential moving average to indicate direction. With the stated defaults of 20 and 50 periods, a cross above the longer average signals a long entry, while a cross below signals a short entry. Its code tracks position…

CryptoFuturesTrendvolgendMomentum