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 applies Parabolic SAR across intraday, daily, weekly and monthly timeframes, with the weekly SAR used for trade signals. It describes entering long when weekly SAR moves above a recent high and short when it moves below a recent low. The text…

Tekniske indikatorerTrendfølgningRisikostyringFutures
Strategy library

This strategy combines four aligned exponential moving averages with Supertrend direction and a recent high or low breakout. Long entries require bullish Supertrend, price above the shorter averages, an ascending EMA order and a break above the previous…

TrendfølgningKursgennembrudTekniske indikatorerRisikostyring
Strategy library

This indicator combines a moving average filter, RSI extremes and an ADX threshold to identify short-term entries. For a long signal, price must be above the selected moving average, RSI must be oversold or have reached that level recently, ADX must exceed…

Tekniske indikatorerMomentumFuturesBacktesting
Strategy library

The proposed system defines bullish and bearish market conditions using short- and long-period simple moving averages, RSI thresholds, and a rolling standard deviation as a volatility measure. It then applies preset transition probabilities to choose a next…

Tekniske indikatorerStatistikMaskinlæringRisikostyring
Strategy library

This document describes a trend-following system that enters long or short when SuperTrend direction changes, using ATR in the indicator. Its additional component records trade outcomes by weekday and calendar day of the month. For each grouping, it tracks…

TrendfølgningTekniske indikatorerStatistikBacktesting
Strategy library

The excerpt presents configurable components for a trading strategy centered on execution and entry filtering. Its inputs include risk per trade, a reward-to-risk target, an ATR-based stop, and an optional ATR trailing stop. Entry filters include separate…

RisikostyringPositionsstørrelseOrdreudførelseTekniske indikatorer
Strategy library

This strategy uses a simple moving average to form a channel and treats closes beyond the channel’s prior bounds as trend signals. A close above the previous upper band opens a long position; a close below the previous lower band opens a short position,…

TrendfølgningKursgennembrudTekniske indikatorerFutures
Strategy library

This scalping tool combines a high-low price action channel (PAC), a ribbon of longer EMAs, fractals, and swing-high/low markers to identify pullbacks within a broader trend. It favors buying when price is above the channel and selling when below it. The…

FuturesTrendfølgningMomentumTekniske indikatorer
Strategy library

This strategy combines fixed support and resistance levels with a trend filter based on fast and slow exponential moving averages. It looks for long entries near support when the fast EMA is above the slow EMA, and short entries near resistance when the fast…

FuturesTrendfølgningTilbagevenden til gennemsnittetTekniske indikatorer
Strategy library

This document presents a moving-average trend strategy whose average type and lookback can be selected. It lists options including simple, exponential, volume-weighted, double and triple exponential, adaptive, and price-channel averages. The written…

FuturesTrendfølgningTekniske indikatorerBacktesting
Strategy library

This futures strategy combines fast and slow EMA crossovers with a longer EMA trend filter. A long signal requires the fast EMA to cross above the slow EMA while price is above the trend EMA; shorts require the reverse. Users can enable either direction, and…

FuturesTrendfølgningTekniske indikatorerVolatilitet
Strategy library

This strategy combines a fast and slow exponential moving average crossover with a one-bar comparison of the Average True Range. A bullish crossover is accepted when ATR is lower than its previous value; a bearish crossover is accepted when ATR is higher.…

FuturesTrendfølgningTekniske indikatorerVolatilitet
Strategy library

Camarilla pivots use the prior session’s high, low, and close to calculate four resistance levels above the close and four support levels below it. The description assigns different roles to the inner and outer levels: the third levels can be used for trades…

Tekniske indikatorerKursgennembrudTilbagevenden til gennemsnittetBacktesting
Strategy library

This trend-following method compares a short exponential moving average with a longer one. A cross of the 9-period EMA above the 21-period EMA triggers a long entry, while a cross below triggers a short entry. The described rationale is that the faster…

Tekniske indikatorerTrendfølgningFuturesKrypto
Strategy library

This strategy uses the Vortex Indicator’s positive and negative lines to generate directional signals. Each line is built from summed price movements across a 14-bar period, normalized by summed true range. The source then smooths the lines and looks for…

FuturesTekniske indikatorerTrendfølgningBacktesting
Strategy library

The Uhl MA system pairs a slower corrected moving average (CMA) with a faster corrected trend step (CTS). Its calculations use variance and deviations from prior values to adjust how much each line follows a simple average or earlier observations. A CTS…

FuturesKryptoTrendfølgningTekniske indikatorer
Strategy library

This long-only method compares fast and slow EMAs on 5-minute, 15-minute, and 30-minute charts. It enters when all three comparisons indicate an uptrend and price is above a 200-period EMA filter; it exits if any timeframe loses that alignment or price falls…

FuturesKryptoTrendfølgningTekniske indikatorer
Strategy library

This strategy builds an opening range after the U.S. market opens, with selectable durations from five to sixty minutes. It seeks breakouts confirmed by a configurable number of consecutive closes beyond the range, and includes an option to reverse the usual…

FuturesKursgennembrudPositionsstørrelseRisikostyring
Strategy library

This Pine strategy is designed for Micro E-mini S&P 500 futures during an evening session in Eastern Time. It first builds a range during a configurable opening window, then appears intended to trade moves around that range. Inputs define acceptable range…

FuturesKursgennembrudTilbagevenden til gennemsnittetTekniske indikatorer
Strategy library

The strategy description combines pivot-derived levels with ATR-based bands to create a changing trend line. A move above or below that line indicates a bullish or bearish direction, while ADX is intended to screen for stronger trends. The document also…

FuturesKryptoTrendfølgningKursgennembrud
Strategy library

This strategy applies Ichimoku components to trade in both directions. The description calls for long entries when price rises above the Tenkan-sen and clears the cloud, and short entries when price falls below the Kijun-sen and moves into the cloud. It…

FuturesKryptoTrendfølgningKursgennembrud
Strategy library

This strategy uses 30-, 60-, and 200-period simple moving averages to describe short- and long-term direction. Its coded signals arise when the 30-period average crosses above or below the 200-period average; the 60-period average is shown as a reference but…

FuturesKryptoTrendfølgningTekniske indikatorer
Strategy library

The document introduces an opening-range breakout strategy for MNQ, combining the first minutes of the US session with VWAP and configurable directional bias. The visible settings define the opening-range duration and breakout buffer, set fixed contract…

FuturesKursgennembrudTekniske indikatorerVolatilitet