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Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker 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 for kvantkurs
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
144 dokumenter
Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
Quantpedia
86 dokumenter
TqSdk
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
Quantopian-forelesninger
45 dokumenter
Binance API docs
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

Søk i biblioteket

79,386 dokumenter

BigQuant

This document summarizes an introductory treatment of graph neural networks (GNNs), which learn from data represented as entities and their relationships. It explains how convolutional ideas used with images can be generalized to graph structures, whose…

MaskinlæringStatistikk
SuperMind

This A-share screening idea combines intraday market activity with a weekly trend condition. It selects stocks with amplitude above 1, current volume above 10,000 lots, a higher opening price, and a weekly five-period moving average crossing above the…

AksjerKinesiske markederTekniske indikatorerMomentum
Amberdata research

This weekly report examines Bitcoin and Ether options around regulatory news and a busy US macro calendar. It describes short-dated implied volatility rising after enforcement actions, a brief move into backwardation, and a flatter term structure afterward.…

KryptoOpsjonerVolatilitetMarkedsmikrostruktur
BigQuant

The article reviews the long decline in mutual fund and ETF expense ratios and links it to investor choices, competition, and changes in financial advice and retirement plans. It distinguishes asset-weighted averages, which reflect where investors put their…

StatistikkPorteføljekonstruksjonAmerikanske markeder
SuperMind

This discussion addresses how to use a daily stock popularity ranking obtained through a query interface in a backtest when the research environment returns a dataframe but the backtest environment does not behave the same way. One suggested workflow is to…

AksjerKinesiske markederHistorisk testingOrdreutførelse
SuperMind

This post describes a stock screen restricted to a designated metaverse industry group. Within that group, it selects shares whose average price is above the five-day moving average and whose daily MACD is positive. The stated intent is to combine an…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This Chinese-language post outlines an equity screening idea that combines three signals: rank stocks by relative volume, require the 5-, 10-, and 20-day moving averages to be aligned upward, and look for a 15-minute MACD histogram that is shrinking while…

AksjerKinesiske markederMomentumTekniske indikatorer
Stratmill research code

This example builds a BTCUSDT futures market-making strategy whose fair price is estimated from a spot reference price plus a smoothed spot–futures basis. It resamples spot and futures book-ticker mid-prices, carries observations forward, and calculates a…

KryptoFuturesMarket makingTilbakevending mot gjennomsnittet
FMZ forum

The document describes a backtesting feature for BitMEX’s XBTUSD perpetual contract that simulates periodic funding payments using historical funding-rate data. It says the feature is available across JavaScript, C++, and Python, and that event logging can…

KryptoEvigvarende futuresHistorisk testingRisikostyring
ProRealCode

The document presents an indicator framework that combines nested swing detection, structural trend changes, Fibonacci retracements, and engulfing candlestick patterns. Short-, intermediate-, and long-term swings are used to identify increasingly significant…

Tekniske indikatorerKursbruddTrendfølgende handelRisikostyring
SuperMind

This stock-selection proposal combines a price-range filter, a historical dividend-yield condition, and a turnover-related condition. The stated screen looks for stocks with amplitude above 1%, a 2019 dividend ratio above 25%, and a turnover measure between…

AksjerKinesiske markederFaktorinvesteringVolatilitet
MQL5 code base

The document describes a support and resistance indicator based on the prior candle’s high, low, and close. For daily levels, it uses the previous day’s candle and applies the resulting levels to charts below the daily timeframe; levels are recalculated each…

ValutahandelTekniske indikatorerStatistikk
BigQuant

This research review summarizes a study of manager changes at Chinese equity funds, distinguishing internal transfers, moves to another public fund, moves to a private fund, and exits from the fund industry. The study compares benchmark-adjusted buy-and-hold…

AksjerKinesiske markederStatistikkRisikostyring
SuperMind

This stock selection concept combines moderate trading activity, recent price strength, and a technical trigger. It seeks stocks with turnover between 3% and 12%, at least one limit-up event in the preceding 25 days, and a newly formed KDJ golden cross. The…

AksjerKinesiske markederMomentumTekniske indikatorer
MQL5 code base

This note describes a utility that trails an open position’s stop loss using Parabolic SAR on a selected timeframe. For a buy position, it considers moving the stop when the prior bar’s SAR is above the entry price and below that bar’s low. For a sell…

Tekniske indikatorerRisikostyringOrdreutførelse
MQL5 code base

The document introduces John Ehlers’ Center of Gravity indicator as a finite impulse response filter applied to price, with a configurable calculation period. It presents the indicator as a low-lag tool for spotting potential turning points. The basic signal…

Tekniske indikatorerTilbakevending mot gjennomsnittetStatistikk
SuperMind

The proposed Chinese equity screen combines three conditions: a recent increase in reported holdings or inflow, a weekly five-period moving average crossing above the ten-period average, and at least two limit-up sessions during the past 500 days. The post…

AksjerKinesiske markederMomentumTekniske indikatorer
MQL5 code base

The document describes a lightweight reporting setup for MetaTrader accounts. An expert advisor writes account balance and position change information to text files, while a separate ICQ bot responds to user commands by sending the contents of selected…

OrdreutførelseRisikostyring
SuperMind

The article explains how to estimate the probability of a binary outcome using Bayesian inference. It uses coin flips to introduce a Bernoulli likelihood for observations and a Beta distribution as a prior for the unknown success probability. Because these…

StatistikkRisikostyring
SuperMind

The document describes a stock screen that selects shares with a prior-day price range above 1%, more than a year since listing, and prior-day turnover above 8%. It explains the intended rationale: range and turnover are treated as signs of activity, while…

AksjerKinesiske markederTekniske indikatorerHistorisk testing
MQL5 code base

The document outlines an expert advisor for EURUSD that trades around the European and American sessions. It identifies session start and end times as configurable inputs and describes a minimum European-session range, stop loss, take profit, and a lot-size…

ValutahandelKursbruddRisikostyringPosisjonsstørrelse
SuperMind

This document proposes a Chinese stock screen using three signals: a high volume ratio, a rounded price pattern approximated through Bollinger Band contraction or expansion, and at least two limit-up events over 500 days. It describes ranking stocks by…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This document describes a simple screen for Chinese metaverse-related equities. It selects stocks with circulating market capitalization above the stated cutoff and a ten-day price gain that is positive but below a specified upper bound. The accompanying…

Kinesiske markederAksjerMomentumFaktorinvestering