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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
QuantRocket
7 documenten
Lumibot strategies
7 documenten
Awesome Quant
1 documenten

Doorzoek de bibliotheek

7,910 documenten

Strategy library

This trend-following strategy combines Ichimoku conditions with MACD histogram, Chaikin Money Flow (CMF), and True Strength Index (TSI) filters. Long entries require the Tenkan-sen above the Kijun-sen, positive price momentum, a close above the cloud, a…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This trend-following approach uses a 30-period simple moving average crossing a 200-period simple moving average to signal long or short trades. A 30-period average crossing above the 200-period average triggers a buy; crossing below triggers a sell.…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This strategy combines an ATR-based UT Bot trailing line with RSI filters to identify reversals. A change in the trailing line’s direction defines an uptrend or downtrend; a long signal requires an upward turn while RSI is below 40, and a short signal…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This script combines three exponential moving averages with a stochastic oscillator and a set of candlestick pattern definitions. It classifies the trend as bullish when price and the three averages are ordered upward, and bearish when they are ordered…

Technische indicatorenTrendvolgendMomentumStatistiek
Strategy library

This 30-minute ETH perpetual strategy combines directional trend, RSI limits, relative volume, and two momentum measures to select long and short entries. It offers two ADX calculation variants. Long entries require positive directional movement, ADX above…

CryptoPerpetuele futuresTrendvolgendMomentum
Strategy library

This strategy combines a simple moving average trend filter, MACD confirmation, and an ATR-derived distance. A long condition occurs when price crosses above the SMA and the MACD line is above its signal line; a short condition mirrors this below the SMA.…

CryptoFuturesTrendvolgendMomentum
Strategy library

This strategy combines a Relative Vigor Index with an Ehlers Fisher stochastic transformation to create directional signals. It smooths candle body changes and ranges, sums them over a configurable length, and divides the body measure by the range measure to…

CryptoFuturesTechnische indicatorenMomentum
Strategy library

This utility describes a way to liquidate available coin balances across several configured exchanges while optionally retaining a specified amount. For each exchange, it first attempts to cancel open orders, reads the account balance, and repeatedly submits…

OrderuitvoeringMarktmicrostructuurCryptoSpotmarkten
Strategy library

This strategy turns a simplified Elliott Wave impulse concept into a mechanical signal. It checks for a configurable run of rising or falling closes and compares the latest close with a close a specified number of bars earlier. A matching upward or downward…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This strategy estimates how unusual recent upward closes are relative to a longer-term up-bar frequency. It counts up closes over a short window, estimates the probability of an up close from a longer window, and calculates a binomial cumulative distribution…

CryptoFuturesTerugkeer naar het gemiddeldeStatistiek
Strategy library

This document describes a crypto arbitrage bot that compares a target market’s best bid and ask with synthetic prices formed through two other markets. It adjusts those synthetic prices for exchange-specific fees and available order-book depth, then uses the…

CryptoArbitrageMarktmicrostructuurOrderuitvoering
Strategy library

This strategy generates entries when price crosses a Supertrend line. An optional 200-period EMA filter requires price to align with the broader trend, while an optional ADX filter screens for trend strength. Trades can be limited to the Indian market…

AandelenTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This short-term strategy smooths recent price changes to create a volatility-scaled range filter. A recursive filter line adjusts in steps according to the smoothed range, and its direction tracks whether the line is rising or falling. A long signal occurs…

FuturesCryptoUitbraakTechnische indicatoren
Strategy library

This strategy uses a 20-period exponential moving average as a trend reference and compares the close with both the average and a key level derived from the latest two bars' highs and lows. It takes a long position when the close is above both references and…

FuturesCryptoTrendvolgendUitbraak
Strategy library

This strategy builds a long and short trading signal around an ATR-based trailing threshold. It subtracts a volatility buffer, defined as ATR multiplied by a configurable factor, from highs and takes the highest resulting value over a lookback window. The…

FuturesCryptoTrendvolgendVolatiliteit
Strategy library

This educational example applies a dual exponential moving average crossover to several cryptocurrency spot pairs. For each configured symbol, it calculates two EMA series and buys when the shorter average crosses above the longer one; it sells a fixed coin…

CryptoSpotmarktenMomentumTechnische indicatoren
Strategy library

This strategy defines an opening range from 07:00 to 08:00 and looks for a later close beyond its high or low during the 14:00–23:00 Europe/Amsterdam session. It enters long above the range or short below it, provided price is also on the matching side of a…

UitbraakTechnische indicatorenRisicobeheerPositiegrootte
Strategy library

This long-only strategy enters when the 12-period EMA crosses above the 26-period EMA, with MACD direction, an RSI range, and price above the 21-period EMA and 7-period SMA used as filters. A separate optional entry checks for a break above a pivot-based…

FuturesCryptoMomentumUitbraak
Strategy library

This strategy builds a channel around a moving average by placing one boundary above it and another below it using percentage offsets. It submits limit entries at the boundaries: a long order at the lower line and a short order at the upper line. Positions…

CryptoFuturesTerugkeer naar het gemiddeldeTechnische indicatoren
Strategy library

This strategy combines Bollinger Bands, based on a moving average and standard deviation, with Keltner Channels, based on a moving average and true range. It enters long when the close is below both lower boundaries and short when it is above both upper…

CryptoFuturesTerugkeer naar het gemiddeldeTechnische indicatoren
Strategy library

This strategy combines Bollinger Bands, whose width is based on price dispersion, with Keltner Channels, whose width uses average true range. It buys when the close is below both lower bands and sells when the close is above both upper bands, treating…

CryptoFuturesTerugkeer naar het gemiddeldeTechnische indicatoren
Strategy library

This strategy looks for unusually wide candles and takes the opposite side: it shorts qualifying bullish candles and buys qualifying bearish candles. A candle qualifies when its high-to-low range exceeds a multiple of the recent average range and its body is…

CryptoFuturesTerugkeer naar het gemiddeldeTechnische indicatoren
Strategy library

This EMAC variant combines a recent trend filter with several moving averages to identify long entries. The description says shorter averages crossing above a longer simple moving average provide confirmation, while a trend measure classifies the broader…

TrendvolgendTechnische indicatorenRisicobeheerPositiegrootte
Strategy library

This strategy combines two simple moving averages with Stochastic RSI. A Stochastic RSI cross upward through an oversold threshold creates a buy signal, while a cross downward through an overbought threshold creates a sell signal. The stated approach uses…

Technische indicatorenMomentumRisicobeheerPositiegrootte