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 compact trading demo uses a 30-period moving average to determine direction. When a completed bar closes above the average, it enters or switches to a long position; when the close falls below the average, it enters or switches to a short position. The…

TrendfølgningTekniske indikatorerOrdreudførelseRisikostyring
Strategy library

This document presents a passive benchmark: invest nearly all available equity once, on the first bar at or after a chosen start date, then maintain the position through the selected period. The strategy has no indicators, timing signals, or response to…

BacktestingRisikostyringPositionsstørrelse
Strategy library

The document presents a short-term reversal concept built around recent pivot highs and lows. Its description says to short when price breaks above a pivot high and go long when price breaks below a pivot low, with a stop loss after entry. It also recommends…

Tilbagevenden til gennemsnittetKursgennembrudTekniske indikatorerRisikostyring
Strategy library

This example explains how to scale trade size according to a strategy’s own equity curve. It offers two ways to define a drawdown phase: compare a fast equity moving average with a slower one, or compare current equity with the slow average. When the…

RisikostyringPositionsstørrelseBacktestingFutures
Strategy library

The document describes a band-breakout approach using a 50-period simple moving average and bands set 2.5 standard deviations above and below it. A close crossing above the upper band triggers a long entry; a close crossing below the lower band triggers a…

RåvarerKursgennembrudVolatilitetTekniske indikatorer
Strategy library

This strategy compares moving averages of bar opens and closes to generate long entries and exits. It offers five average types—EMA, SMA, RMA, WMA, and VWMA—and a configurable lookback. A close-price average crossing above the open-price average signals…

KryptoTrendfølgningTekniske indikatorerMomentum
Strategy library

This strategy uses positive and negative directional indicators to select long or short exposure. The indicators are calculated from smoothed directional movement divided by smoothed true range. A configurable spread threshold filters small differences: the…

KryptoFuturesTrendfølgningTekniske indikatorer
Strategy library

This scalping method uses an 8-period RSI and a 13-period average-volume filter. Long signals can come from strong upward RSI momentum, a rebound from oversold territory, or a cross back above the oversold level; short signals use corresponding bearish…

KryptoFuturesMomentumTekniske indikatorer
Strategy library

This document describes a stock-oriented reversal approach that combines a short-period RSI with a long-term EMA filter. It identifies oversold conditions below 25 and overbought conditions above 80, then looks for price movement through the EMA in the…

AktierTilbagevenden til gennemsnittetTekniske indikatorerRisikostyring
Strategy library

This note explains a MACD crossover strategy built from a fast EMA, a slow EMA, and an EMA signal line. A DIF cross above DEA opens a long position; a cross below closes the long and opens a short. The MACD histogram is also calculated and displayed, but the…

KryptoFuturesTrendfølgningTekniske indikatorer
Strategy library

This strategy constructs Renko-style price movements using a selectable brick assignment method: ATR, a fixed traditional value, or a fraction of price. It can derive the direction from close, open and close, or high and low data, and uses volume to assess…

KryptoFuturesTekniske indikatorerVolatilitet
Strategy library

This strategy uses major and minor Leledec exhaustion signals to identify possible local price extremes. Its indicator counts successive comparisons between the current close and a prior close. A major bullish signal follows a sufficiently long sequence of…

KryptoFuturesTrendfølgningTekniske indikatorer
Strategy library

This strategy combines a long-term simple moving average with MACD and Stochastic RSI to define momentum breakout entries. It calls for a long position when price crosses above the moving average while MACD is positive and StochRSI is above its bullish…

MomentumKursgennembrudTekniske indikatorerRisikostyring
Strategy library

This brief example shows how to use TA-Lib’s three black crows candlestick recognizer on market bars. The program scans the returned pattern values for the bearish pattern code and checks whether its index is the final bar in the current record set. On…

KryptoSpotmarkederTekniske indikatorerOrdreudførelse
Strategy library

This document describes a trend-following strategy built from eight exponential moving averages with periods from 20 to 55. The ribbon is displayed as a set of lines, while trade signals come specifically from the shortest and longest averages: crossing…

KryptoFuturesTrendfølgningTekniske indikatorer
Strategy library

This technical strategy uses a short and a long exponential moving average crossover as its actual order trigger: a cross upward opens a long position, and a cross downward opens a short position. It also plots RSI, Bollinger Bands, Supertrend, and VWAP to…

TrendfølgningTekniske indikatorerMomentumVolatilitet
Strategy library

This proposed short-term DAX strategy combines candle strength, a moving-average trend filter, an ATR-based volatility condition, and a consolidation filter. It takes long or short positions when a strong candle aligns with trend and other filters, while a…

FuturesMomentumTrendfølgningVolatilitet
Strategy library

The strategy combines Bollinger Bands and Keltner Channels to identify volatility compression and expansion, then uses a linear-regression momentum value to choose trade direction. It enters when the squeeze state ends and momentum points up or down, with an…

KryptoFuturesMomentumKursgennembrud
Strategy library

This strategy uses a smoothed Stochastic oscillator to identify potential overbought and oversold entries, with a 200-period simple moving average serving as a trend filter for additional entry conditions. The description also presents an AI signal as a…

KryptoFuturesTilbagevenden til gennemsnittetTekniske indikatorer
Strategy library

This strategy combines a fast and slow EMA crossover with RSI and ADX filters to enter long or short positions. RSI thresholds screen potential entries, while an ADX reading above a specified level is used to require stronger trend conditions. ATR sets stop…

KryptoFuturesMomentumTekniske indikatorer
Strategy library

This partial strategy listing describes a SOLUSDT system configured to trade with full-equity sizing, commission and slippage assumptions, and no pyramiding. Its inputs are grouped around a confidence and momentum core, trend filters, sniper bias, signal…

KryptoTekniske indikatorerRisikostyringPositionsstørrelse
Strategy library

This strategy combines RSI, moving averages, and Bollinger Bands to seek reversal entries while filtering signals by trend and price location. It describes a long entry when price crosses above a long-term average while RSI is very low, and a short entry…

KryptoFuturesTilbagevenden til gennemsnittetTekniske indikatorer
Strategy library

The visible portion of this TradingView strategy defines configurable Asia, London, and New York sessions, with switches to enable trading in each. It computes an exponential moving average and average true range, and draws session boxes whose color reflects…

Tekniske indikatorerVolatilitetRisikostyringOrdreudførelse
Strategy library

This strategy generates directional signals from the crossover of two configurable moving averages. Traders can choose simple, exponential, weighted, or relative averages and set a separate period for each. A cross of the faster average above the slower one…

Tekniske indikatorerTrendfølgningMomentumBacktesting