Hoppa till innehåll

Kunskapsbibliotek

Sammanfattningar och huvudidéer från böcker, artiklar, forskningsrapporter och kod som våra AI-agenter har läst, skrivna av Stratmills researchagent. Varje sida länkar till originalet.

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

Sök i biblioteket

79,386 dokument

BigQuant

This article introduces convolutional neural networks and explains how one-dimensional convolutions can extract local patterns from financial time series. It describes convolution as applying learned weights across sequence windows, while pooling summarizes…

AktierMaskininlärningFaktorinvesteringBacktestning
Cryptohopper blog

The article explains how Bollinger Bands can help traders assess crypto volatility and possible market direction. The bands are described as a moving average with upper and lower boundaries typically set two standard deviations away. Narrowing bands indicate…

KryptoTekniska indikatorerVolatilitetUtbrott
BigQuant

This Chinese-language course description presents limit-up stock counts as a way to identify active areas of the China equity market. It proposes comparing counts across market capitalization, sectors, and industries, using recent industry counts to locate…

Kinesiska marknaderAktierMomentumTekniska indikatorer
MQL5 code base

SimpleBars is a chart indicator that colors candlesticks according to the highs and lows of earlier bars. Its description identifies the comparison with previous bars as the basis for the visual encoding, allowing traders to inspect recent price structure…

Tekniska indikatorer
SuperMind

This introductory article explains the basic objects and notation of linear algebra used in machine learning and deep learning. It defines scalars, vectors, matrices, and higher-order tensors, with examples such as feature vectors, neural-network weights,…

MaskininlärningStatistikPortföljkonstruktion
MQL5 code base

This document describes an MQL5 class for calculating the Triple Exponential Moving Average (TEMA) with a ring buffer. It outlines initialization options such as the period, smoothing method, buffer size, and series orientation, then describes methods for…

Tekniska indikatorerTrendföljning
Binance API docs

This reference explains how to connect to Binance’s SBE market-data WebSocket service and what the streams provide. It covers real-time trade events, best bid and ask updates, incremental order-book depth updates, and periodic snapshots of the top levels.…

KryptoSpotmarknaderMarknadsmikrostrukturOrderutförande
SuperMind

This document describes a short-term stock screen using three conditions: daily amplitude above a threshold, a high daily control measure, and a positive product between price change and net flow from very large orders. Its refined version also restricts…

AktierMomentumTekniska indikatorerOrderutförande
MQL5 code base

This document describes an adviser that uses the DeMarker indicator to generate signals and place pending limit or stop orders. It checks for a signal only when a new bar begins, then sets the pending order at a configured distance from the current price. A…

Tekniska indikatorerOrderutförandeRiskhantering
SuperMind

This note describes a screen for A-shares whose codes begin with 60, whose turnover is between 3% and 12%, and whose top 20% of shareholders collectively hold less than 70% of shares. It presents these conditions as filters for liquidity and ownership…

AktierKinesiska marknaderStatistikRiskhantering
SuperMind

This note describes a stock screen for A-shares whose codes begin with 60, whose turnover is between 3% and 12%, and whose price-to-earnings ratio is positive. The code example obtains a current trading date and filters listed stocks using those criteria.…

AktierKinesiska marknaderFaktorinvesteringRiskhantering
MQL5 code base

This note describes a double-smoothed adaptive moving average intended to address frequent slope changes in an adaptive moving average. It places the method in the context of Kaufman's adaptive moving average and a modification that also accounts for where…

Tekniska indikatorerTrendföljningBacktestning
BigQuant

This report reviews Chinese public quantitative funds and private quantitative market-neutral strategies using observations available through March 2022. It groups public funds into market-neutral products, CSI 300 enhanced funds, and CSI 500 enhanced funds,…

AktierKinesiska marknaderStatistikFaktorinvestering
SuperMind

This proposed equity screen selects stocks with amplitude above 1, an RSI below 65, and prior-day turnover above 60 million. It combines a price-range measure with a momentum oscillator and a liquidity threshold, aiming to find stocks with activity while…

AktierTekniska indikatorerMomentumVolatilitet
SuperMind

This proposed equity screen combines membership in the metaverse sector, a rounded price pattern, and a circulating share count capped at 5.5 billion. The article frames the float limit as a way to focus on relatively smaller stocks and suggests…

AktierTekniska indikatorerKinesiska marknader
SuperMind

This stock-selection screen combines price amplitude above 1, a dividend-related payout ratio above 25% for 2019, and a rising-bottom condition. The explanation treats larger amplitude as a sign of greater trading opportunity, the dividend filter as a way to…

AktierTekniska indikatorerVolatilitetRiskhantering
MQL5 code base

This MetaTrader expert advisor detects bullish and bearish inside-bar patterns and opens corresponding long or short positions. It offers three position-handling modes: open a position at every signal with stop-loss or take-profit exits; reopen positions in…

ValutahandelUtbrottTekniska indikatorerRiskhantering
MQL5 code base

The document introduces the DecisionPoint Price Momentum Oscillator, originally developed by Carl Swenlin, and describes a comparison approach attributed to Vitali Apirine. The method applies the oscillator to compare the relative momentum of two securities.…

Tekniska indikatorerMomentumStatistik
Qlib

This configuration describes a Qlib workflow for training a binary LightGBM model on one-minute CSI 300 data from China. It uses the Alpha158 feature handler, robust feature normalization, missing-value filling, and cross-sectional label ranking. The label…

AktierHögfrekvenshandelMaskininlärningKinesiska marknader
SuperMind

This Chinese equity screening rule ranks stocks by capital strength and requires more than two limit-up days in the past ten days. It also requires a nonempty name for an outstanding convertible bond. The article explains these conditions as signs of…

AktierMomentumKinesiska marknaderTekniska indikatorer
SuperMind

This research summary reviews six studies on industry rotation and index enhancement in China. Its multi-factor framework considers expected and historical fundamentals, price and volume information, market leadership, and system-risk concentration. It…

Kinesiska marknaderAktierFaktorinvesteringMomentum
MQL5 code base

FanMA2 represents a fan of moving averages as an oscillator in a separate chart window. Its values stay within a range of plus one to minus one, and the display includes a smoothed average line. The description outlines the indicator’s configurable…

Tekniska indikatorerTrendföljning