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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 pairs RSI divergence with a long-term EMA trend filter. It identifies bearish divergence when price forms a higher pivot high while RSI forms a lower reading, and bullish divergence when price makes a lower pivot low while RSI makes a higher…

Technische indicatorenMomentumTrendvolgendRisicobeheer
Strategy library

This short-term strategy uses a fast exponential moving average and a slower moving average to signal changes in market direction. With the stated periods of 50 and 100, a cross above suggests a long position or call option, while a cross below suggests a…

OptiesTechnische indicatorenTrendvolgendRisicobeheer
Strategy library

This trend-following approach combines the relative order of three exponential moving averages with RSI zones to filter long and short entries. It describes two entry patterns: a move back across a shorter EMA and a direct break through a longer EMA. A much…

TrendvolgendMomentumTechnische indicatorenRisicobeheer
Strategy library

This Python module adapts the Double-7 mean-reversion approach, described as originally designed for ETFs, to a portfolio-like comparison of lookback periods. Each period is represented as a separate symbol, allowing the user to examine several versions of…

AandelenTerugkeer naar het gemiddeldePortefeuilleconstructieBacktesten
Strategy library

This Pine Script strategy represents a long-only Bitcoin perpetual-futures bot configuration. Its entry concept combines a fast moving average crossing below a slower moving average with a low Commodity Channel Index reading. The documented source settings…

CryptoPerpetuele futuresTerugkeer naar het gemiddeldeTechnische indicatoren
Strategy library

This strategy tracks recent pivot highs and lows as resistance and support, then looks for either a breakout beyond those levels or a rejection that returns inside them. It requires volume to exceed a multiple of its moving average before acting, using that…

FuturesUitbraakTerugkeer naar het gemiddeldeTechnische indicatoren
Strategy library

K’s Reversal Indicator I combines a long-lookback Bollinger Band with MACD line crossovers to produce contrarian entry signals. A potential long occurs when price is unusually low relative to the band and MACD crosses above its signal line; a potential short…

CryptoFuturesTerugkeer naar het gemiddeldeTechnische indicatoren
Strategy library

This strategy uses an ATR-based Chandelier Exit to set trailing long and short stop levels. The stops are calculated from recent highs or lows, adjusted by an ATR multiple, and constrained so they move with the prevailing direction. A change in direction…

FuturesTrendvolgendTechnische indicatorenVolatiliteit
Strategy library

This document describes a trading template built around 60-, 10-, and 5-period moving averages. For a long entry, price and both shorter averages must be above the 60-period average, while the 5-period average crosses above the 10-period average. For a short…

Technische indicatorenTrendvolgend
Strategy library

This strategy calculates Supertrend bands from ATR using Heiken Ashi prices, combining smoothed candles with a volatility-based trend indicator. A change in Supertrend direction triggers a long or short entry, and configurable ATR length and multiplier…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This strategy smooths the Commodity Channel Index through a sequence of exponential filters to create a T3-CCI series. Its directional state is positive above zero and negative below zero, with entries taken in the corresponding long or short direction. The…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This multi-factor strategy combines a short-term reversal rule with the Psychological Line, which measures the share of rising closes over a lookback period. The reversal component compares recent closes and uses fast and slow stochastic values to identify…

FuturesCryptoTerugkeer naar het gemiddeldeTechnische indicatoren
Strategy library

This strategy uses Wave Trend crossovers to time entries and exits, while VWMA bands determine position size. Wave Trend is built from an EMA-smoothed price deviation and a second smoothed line; crossing above that line signals a long entry, while crossing…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

The visible portion of this strategy script combines a Donchian-channel breakout check with a large-range bar and smaller “collecting” bars. It measures bar range and body size against a long-period ATR, then tests whether price closes outside the prior…

UitbraakTechnische indicatorenTrendvolgendBacktesten
Strategy library

This system combines fast and slow EMA crossovers with a daily Central Pivot Range reference and an optional volume filter. A bullish crossover can trigger a long only when price is above the prior day's pivot and volume exceeds its 20-day average; bearish…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This intraday strategy combines a weighted monthly, weekly, and daily EMA bias with execution filters and two entry styles. Pullback entries require price to reclaim or reject the intraday EMA while staying on the corresponding side of VWAP. Opening-range…

AandelenTechnische indicatorenTrendvolgendUitbraak
Strategy library

This strategy identifies four harmonic price patterns—Gartley, Bat, Butterfly, and Crab—from successive zigzag pivots. It compares measured legs with Fibonacci ratio criteria, allowing a configurable tolerance and requiring a chosen minimum number of ratio…

Technische indicatorenVolatiliteitRisicobeheerBacktesten
Strategy library

This strategy pairs an exponential moving average with a stochastic-style KD oscillator. After the warm-up period, it opens a long when price is above the EMA and K is below D, and opens a short when price is below the EMA and K is above D. The KD values…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This QuantConnect framework example demonstrates using an ETF constituents universe selection model with SPY as the source ETF. It filters constituent records to those with available weights, sorts them from highest to lowest weight, and selects the top…

AandelenPortefeuilleconstructieOrderuitvoeringAmerikaanse markten
Strategy library

This Python example implements a staged buy intended to spread a target purchase across multiple smaller limit orders. It records the starting account balance and holdings, then repeatedly places a buy below the current bid by a configurable percentage. Each…

OrderuitvoeringMarktmicrostructuurPositiegrootte
Strategy library

This strategy combines a Williams %R-style oscillator applied to volume with fast and slow volume moving averages. Long and short setups require aligned volume conditions, an oscillator threshold, and a selectable candle filter ranging from simple candle…

MomentumTechnische indicatorenVolatiliteitRisicobeheer
Strategy library

This trend-following approach uses a 25-period volume-weighted moving average as its main reference, an 8-period VWMA for faster signals, and a 50-period EMA for broader trend context. Entries require the fast VWMA to cross the main VWMA, price to be on the…

TrendvolgendTechnische indicatorenRisicobeheerFutures
Strategy library

This strategy combines Bollinger Band breakouts with market structure shift signals and an optional higher-timeframe trend filter. It uses a 55-period band with a 2.0 standard deviation multiplier. A close above the upper band can trigger a long, while a…

UitbraakMomentumTechnische indicatorenRisicobeheer
Strategy library

This document outlines a mean-reversion system that enters when price first touches or crosses an outer Bollinger Band. It uses a 20-period simple moving average for the center line and a 3.4 standard deviation multiplier for the bands. A low reaching the…

Terugkeer naar het gemiddeldeTechnische indicatorenFuturesCrypto