Spring til indhold

Videnbibliotek

Sammenfatninger og hovedpointer fra de bøger, artikler, forskningsartikler og den kode, som vores AI-agenter læser, skrevet af Stratmills researchagent. Hver side linker til originalen.

Quant Q&A
20,364 dokumenter
SuperMind
12,226 dokumenter
OKX Learn
8,431 dokumenter
Strategy library
7,910 dokumenter
MQL5 code base
7,090 dokumenter
BigQuant
3,481 dokumenter
Bitget Academy
3,298 dokumenter
MQL5 articles
3,012 dokumenter
TradingView scripts
1,976 dokumenter
ProRealCode
1,507 dokumenter
Deribit Insights
1,232 dokumenter
Machine Learning for Trading
1,124 dokumenter
arXiv papers
1,033 dokumenter
Amberdata research
766 dokumenter
FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
vn.py community
560 dokumenter
QuantInsti blog
511 dokumenter
Galaxy Research
340 dokumenter
QuantStart
246 dokumenter
Stratmill research code
219 dokumenter
Robot Wealth
195 dokumenter
NautilusTrader
191 dokumenter
Hummingbot docs
181 dokumenter
Paradigm research
175 dokumenter
Lumibot
164 dokumenter
Kraken Learn
163 dokumenter
Bibliotek med kvantkurser
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
144 dokumenter
Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
TqSdk
86 dokumenter
Quantpedia
86 dokumenter
Hyperliquid docs
79 dokumenter
Freqtrade
68 dokumenter
Hudson & Thames
62 dokumenter
Awesome Systematic Trading
61 dokumenter
backtrader
54 dokumenter
vn.py
50 dokumenter
Binance API docs
45 dokumenter
Quantopian-forelæsninger
45 dokumenter
FMZ guides
38 dokumenter
pysystemtrade
34 dokumenter
Freqtrade docs
32 dokumenter
quant-trading
31 dokumenter
FinRL
28 dokumenter
Zipline
22 dokumenter
FMZ live strategies
21 dokumenter
Jesse
17 dokumenter
pyfolio
16 dokumenter
Alphalens
14 dokumenter
WonderTrader
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
9 dokumenter
QTPyLib
8 dokumenter
QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søg i biblioteket

7,910 dokumenter

Strategy library

This strategy combines a long-horizon MACD trend filter with Stochastic signals for entries and exits. Its code tracks changes in the MACD histogram across several lookback intervals to set a directional state. Long entries require a rising Stochastic…

FuturesTekniske indikatorerTrendfølgningMomentum
Strategy library

This strategy uses an EMA-based channel to classify the market as trending or sideways, then applies different entry logic in each regime. The description centers on EMA 200 with an offset, and a 9-period KDJ oscillator with stated overbought and oversold…

FuturesTrendfølgningTilbagevenden til gennemsnittetTekniske indikatorer
Strategy library

This strategy combines Bollinger Bands with RSI and a Stochastic-style oscillator to identify potential overbought and oversold conditions. It proposes a long when RSI is below 34, the oscillator is below 20, and price is at or below the lower band; the…

KryptoFuturesTilbagevenden til gennemsnittetVolatilitet
Strategy library

This short-term crossover strategy pairs a 5-period fast simple moving average with a 10-period slow simple moving average, then uses a 30-period exponential moving average as a directional filter. A fast-average cross above the slow average can open a long…

KryptoFuturesMomentumTekniske indikatorer
Strategy library

This intraday equity strategy takes a position when two same-day return intervals agree in direction. It compares the 10:00 opening price with the previous session’s 15:59 close, so the first measure includes the overnight move. It then compares 15:30 with…

AktierAmerikanske markederMomentumBacktesting
Strategy library

This strategy combines a McGinley Dynamic average with a pair of exponential moving averages to identify trend changes. A 21-period EMA crossing a 42-period EMA sets the directional bias, while price relative to the McGinley line and a short-EMA price-cross…

KryptoFuturesTrendfølgningTekniske indikatorer
Strategy library

This small trading-terminal plugin plots the price difference between quarterly and current-week futures contracts. It retrieves five-minute records for each contract, aligns the most recent observations by their array positions, subtracts the current-week…

FuturesKryptoMarkedsmikrostrukturOrdreudførelse
Strategy library

This strategy defines several candlestick patterns, including long-legged doji, marubozu, gap windows, tower bottoms, mat holds, and matching highs. It combines selected bullish patterns with a condition that price is above a simple moving average, and…

KryptoFuturesTekniske indikatorerKursgennembrud
Strategy library

This rules-based strategy combines an Advanced Sentiment Oscillator (ASO), an SSL channel, and a momentum breakout indicator. Long or short entries require alignment between the ASO’s bullish or bearish state, a recent crossover, the SSL trend direction, and…

TrendfølgningMomentumKursgennembrudTekniske indikatorer
Strategy library

This trend-following approach tracks an asset’s highest price and sets entry and exit thresholds as percentages of that peak. It describes buying when the close falls below 80% of the tracked high and closing the position when the close rises above 99%. The…

KryptoFuturesTrendfølgningTekniske indikatorer
Strategy library

This strategy uses a smoothed Awesome Oscillator to generate directional signals. It calculates the difference between fast and slow moving averages of median price, using default lengths of 5 and 34 periods, then subtracts a further fast-length moving…

Tekniske indikatorerMomentumFuturesBacktesting
Strategy library

This trend-following approach adds selected low-frequency Fourier components to price and applies fast, medium, and slow moving averages. The stated defaults are 5, 20, and 200 periods. It enters long when the fast average is above the medium average and…

TrendfølgningTekniske indikatorerFuturesBacktesting
Strategy library

This strategy combines a three-bar 123 reversal signal with the Fisher Transform. It opens a long or short position only when both indicators point in the same direction, and closes positions when their signals disagree. The document describes the reversal…

Tekniske indikatorerTilbagevenden til gennemsnittetFuturesBacktesting
Strategy library

The document describes a sector rotation approach combining relative momentum with a market regime filter. Its stated rules hold the strongest sectors by three-month gains when the S&P 500 is above its ten-month simple moving average, exit when the index…

MomentumAktierTrendfølgningPorteføljekonstruktion
Strategy library

This script turns Supertrend direction changes into a simple long-only trading rule. It buys when the direction switches from positive to negative and closes the long position when direction switches back. The indicator uses an ATR length of four and a…

Tekniske indikatorerTrendfølgningBacktesting
Strategy library

This strategy classifies the MACD histogram on a four-hour timeframe by both its sign and whether it is rising or falling. Those states are used to generate long and short entries or to close positions, with configurable MACD lengths and an optional mode…

FuturesTrendfølgningMomentumTekniske indikatorer
Strategy library

This Pine Script template shows how to connect strategy orders to webhook alert messages. Its example signal uses a fast and slow moving average crossover, with selectable EMA, SMA, WMA, or RMA calculations. The example enters long or short when the averages…

Tekniske indikatorerRisikostyringOrdreudførelse
Strategy library

BRAHMASTRA combines a smoothed moving-average crossover module with pivot-based trendlines. The HMA-Kahlman component compares two Hull moving-average variants, optionally smoothed with a Kahlman filter, and marks bullish or bearish crossovers. The…

FuturesTrendfølgningTekniske indikatorerBacktesting
Strategy library

This trend-following approach combines two moving-average filters with Parabolic SAR. It classifies the market as rising when the faster EMA is above the slower EMA and the faster SMA is above the slower SMA. During that condition, the rules place a stop…

TrendfølgningTekniske indikatorerKursgennembrudRisikostyring
Strategy library

This strategy describes staged accumulation in volatile BIST stocks. It derives support and resistance levels from price crossings with Hull moving averages applied to closing prices, then compares the distance between those levels with a configurable range.…

AktierTilbagevenden til gennemsnittetVolatilitetPositionsstørrelse
Strategy library

The document presents a configurable reversal strategy that combines RSI, MACD, Williams %R, volume spikes, Bollinger Bands, and divergence checks. Its inputs set indicator thresholds and lengths, choose a trading session, and let users require divergence,…

Tekniske indikatorerTilbagevenden til gennemsnittetRisikostyringPositionsstørrelse
Strategy library

The available script excerpt describes an ICT-style setup that combines session timing, trend filters, swing levels, liquidity sweeps, displacement, fair value gaps, and market-structure signals. It defines bullish and bearish context using 50- and…

Tekniske indikatorerMarkedsmikrostrukturRisikostyringOrdreudførelse
Strategy library

This proposed gold strategy combines trend direction, momentum context, and candle reversals. It uses the relative positions of 50- and 200-period exponential moving averages to set direction, then looks for RSI readings from 45 to 55 and a bullish or…

RåvarerTrendfølgningMomentumTekniske indikatorer
Strategy library

This strategy uses fast, medium, and slow exponential moving averages to classify bullish and bearish conditions, then looks for engulfing-style candles with a minimum body-to-range ratio. The description presents trend-following and reversal entries, fixed…

AktierTrendfølgningTekniske indikatorerPositionsstørrelse