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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

FMZ forum

This beginner tutorial explains why a live trading system may need to collect its own candlestick history. Some exchanges provide candle data directly, while others may not. The author distinguishes live use from testing: the platform supplies historical…

OrdreutførelseMarkedsmikrostrukturKrypto
Amberdata research

This podcast recap discusses Rated’s work on Ethereum proof-of-stake infrastructure data. Validator assessment uses real-time and historical measures such as uptime, efficiency, and protocol adherence to give operators context for improving performance. The…

KryptoDeFiOn-chain-dataStatistikk
ProRealCode

The document describes a modified Aroon oscillator intended to react more quickly to trend changes while smoothing noise. It starts from the difference between Aroon Up and Aroon Down, applies an exponential moving average, and tests a range of gain values…

Tekniske indikatorerTrendfølgende handelTilbakevending mot gjennomsnittetStatistikk
SuperMind

The document presents a Chinese equity screen combining daily price movement, a nonempty outstanding convertible-bond name, and a sequence of seven declining sessions. It frames the amplitude condition as a measure of volatility, the bond field as a…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

This post describes a basic A-share momentum screen that excludes Beijing-listed stocks and selects for daily amplitude above 1% and a closing price at the two-day high. It frames amplitude and market location as filters and the recent price high as a…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This post presents a daily, end-of-session A-share selection rule: retain stocks with MACD above zero and turnover between 3% and 12%, then rank them by market heat. It describes positive MACD as a trend filter and heat as a way to identify stocks attracting…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This document describes a short-term A-share screen combining turnover, recent price declines, and limit-up activity. It selects stocks with turnover between 3% and 12%, three consecutive falling sessions, and more than two limit-up days within the prior ten…

AksjerKinesiske markederMomentumTekniske indikatorer
MQL5 code base

The document critiques trend lines built from DeMark pivot points or Bill Williams fractals when key points are identified using only a minimum-bar rule. It proposes removing that minimum and defining a point's dimension as the smallest count of bars on…

Tekniske indikatorerTrendfølgende handelFuturesHistorisk testing
SuperMind

The article proposes screening stocks for a daily price range above 1%, no limit-up close on the previous day, and a positive gain over the preceding ten days below 35%. It presents the range as a way to find more active shares and treats the prior-day…

AksjerKinesiske markederMomentumVolatilitet
SuperMind

This stock-selection screen combines turnover, order-book balance, and share price. It selects listed mainland Chinese stocks with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a latest price below 12 yuan. The…

AksjerKinesiske markederMarkedsmikrostrukturTekniske indikatorer
ProRealCode

The document describes an indicator that compares recent volatility with a longer-term volatility baseline. It calculates standard deviations of close-to-close momentum over short and long lookback periods, then divides the short-period value by the…

VolatilitetTekniske indikatorerStatistikk
BigQuant

This brief platform support exchange addresses why a historical-data call for the CSI 300 index is not recognized. The response says the newer backtest engine retrieves data through SQL and suggests using the platform’s data interface to obtain index data…

AksjerKinesiske markederHistorisk testing
FMZ forum

The essay cautions against treating a single factor as a reliable cause of an investment outcome. It uses stock reactions to restructuring announcements to show that the same news can be welcomed in a bull market and ignored or sold in a weak market. It also…

StatistikkRisikostyringAksjer
SuperMind

This document outlines a Chinese-equity screen requiring a stock to belong to the metaverse theme, have positive net buying attributed to major participants during the auction, and show a KDJ K value below 20. The post interprets the KDJ threshold as a weak…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This document describes an intraday screen for Chinese equities. Its stated filters are turnover between 3% and 12%, at least one limit-up event in the previous 25 days, and exclusion of special-treatment stocks. It aims to identify candidates before 10 a.m.…

Kinesiske markederAksjerTekniske indikatorerKursbrudd
SuperMind

This screen looks for metaverse-related stocks whose turnover is between 3% and 12% and whose candles have closed down for seven consecutive sessions. The document describes the setup as a way to find companies in the metaverse theme after a sustained…

AksjerKinesiske markederTilbakevending mot gjennomsnittetTekniske indikatorer
MQL5 code base

The proposed screen selects stocks with turnover between 3% and 12%, a positive product of the daily price change and net volume attributed to very large orders, and a close above the Bollinger upper band. Its stated rationale is to combine active trading…

AksjerTekniske indikatorerMomentumMarkedsmikrostruktur
SuperMind

This system combines the direction of an X-day average of closing prices with price comparisons over two lookback intervals. A buy setup requires the average to be higher than it was Y days earlier, while the latest close is below its level Y days earlier…

AksjerTrendfølgende handelTilbakevending mot gjennomsnittetTekniske indikatorer
SuperMind

This stock screen targets companies classified in the metaverse industry. It selects shares where the KDJ indicator has just crossed upward and turnover is between 2% and 9%, with eligible securities checked before 10 a.m. for that day's trading. The…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This note proposes screening Chinese stocks for prior-day trading-list appearances with buy amounts greater than sell amounts, an amplitude threshold, and membership in a beverage or alcohol-related industry. It presents the combination as a way to capture…

AksjerMarkedsmikrostrukturKinesiske markederTekniske indikatorer
SuperMind

This note describes a short-term Chinese stock screen using three conditions: amplitude above a stated threshold, a rising-bottom pattern, and more than two limit-up days within a ten-day window. Its stated rationale is to find shares with strong recent…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

This Chinese stock-screening note combines a 14-period RSI threshold below 65 with a recent candle pattern, then ranks qualifying shares by auction value and selects the top five. The stated rationale is to pair a technical condition described as oversold…

AksjerTekniske indikatorerKinesiske markederHistorisk testing
SuperMind

This article outlines a process for developing equity selection rules, from finding market examples and forming a hypothesis to implementing factors, running an initial backtest, reviewing losses, and deciding whether to adjust the logic. It proposes several…

AksjerKinesiske markederTekniske indikatorerHistorisk testing