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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
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-forelesninger
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

SuperMind

This stock-selection rule filters for shares with daily high-low amplitude above 1%, a ten-day return above zero but below 35%, and positive PE. The stated rationale is to find stocks with some recent upward movement without selecting the largest short-term…

AksjerMomentumVolatilitetTekniske indikatorer
SuperMind

The post outlines a daily A-share selection process that keeps stocks with MACD above its zero line, a price condition relative to the five-day moving average, and positive investor attention or “heat,” then ranks candidates by heat. It gives the standard…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

The post describes a simple Chinese A-share stock screen requiring daily high-low movement above 1%, a nonempty outstanding-convertible-bond name, and a share price around 18.5 yuan. Its final restatement widens the price condition to 18–19 yuan, while the…

AksjerKinesiske markederTekniske indikatorerStatistikk
vn.py community

The post raises a futures backtesting issue: unusually large drawdowns may coincide with price gaps when the lead contract changes. The author wants to identify roll dates and avoid trading on those dates, but the post does not provide a method for detecting…

FuturesHistorisk testingRisikostyring
SuperMind

This theme-based stock screen looks for shares with turnover between 3% and 12%, a robot-related classification, floating market value below 10 billion, and a metaverse-related classification. The article supplies an example formula and Python outline. The…

AksjerKinesiske markeder
SuperMind

The proposed stock filter combines RSI below 65, best bid volume greater than best ask volume, and exclusion of STAR Market listings. The article interprets RSI as a way to identify relatively low-priced shares and the bid-ask size comparison as a sign of…

AksjerTekniske indikatorerMarkedsmikrostruktur
SuperMind

This short-term stock screen selects shares with RSI below 65, a daily gain above 1%, and eligibility outside the STAR Market segment. It adds a 15-minute MACD histogram condition: the histogram is negative and becoming less negative, which the document…

AksjerTekniske indikatorerMomentumRisikostyring
SuperMind

This stock screen combines three conditions: daily high-low amplitude above 1%, closing price below 20, and displayed best bid volume greater than best ask volume. The document gives matching formula and Python examples, framing amplitude as a measure of…

AksjerTekniske indikatorerMarkedsmikrostruktur
vn.py community

This short support exchange explains how a VeighNa option strategy accesses its position state. A user asks whether the framework restores the previous day’s strategy positions in the same way as a combination strategy that reads saved JSON data. The…

OpsjonerRisikostyringOrdreutførelse
SuperMind

This stock selection approach combines three technical filters: daily price amplitude above one percent, a reversal or engulfing-style candle condition, and a weekly MACD histogram at or above zero. The post presents the combination as a way to seek active…

AksjerTekniske indikatorerMomentumRisikostyring
SuperMind

The document presents a Chinese-equity screening rule that combines a minimum daily amplitude, a circulating-market-cap threshold, and a morning star candlestick signal. It describes the pattern as a possible bullish reversal after a decline and provides…

AksjerKinesiske markederTekniske indikatorerHistorisk testing
MQL5 code base

The document outlines an exploratory method for studying whether historical indicator patterns relate to later price movement. It encodes a sequence of MACD values over a lookback window, uses that sequence to name a CSV file, and records how often the…

Tekniske indikatorerStatistikkHistorisk testing
MQL5 code base

The document explains how to add notifications to a color-coded MetaTrader indicator. It introduces inputs for selecting the signal bar, enabling sound, limiting alert counts, and turning email or mobile push messages on or off. Separate buy and sell…

Tekniske indikatorerOrdreutførelseValutahandel
BigQuant

The document describes a stock strategy that scores candidates with a neural network, buys up to three holdings, and aims to sell each after three trading days. It stores each stock and its entry-day index in a context list, then compares that index with the…

AksjerPosisjonsstørrelseOrdreutførelseHistorisk testing
FMZ forum

This article presents a modified high-frequency “profit harvester” concept for a one-way crypto perpetual-futures market. It tracks recent trades and order-book prices, then compares a short-term weighted price estimate with recent highs or lows. A move…

KryptoEvigvarende futuresHøyfrekvenshandelKursbrudd
SuperMind

This stock-selection idea combines three daily-chart conditions: a price range above a stated threshold, at least two limit-up events during the prior 500 days, and an opening price near the ten-day moving average. The article frames range and limit-up…

AksjerKinesiske markederTekniske indikatorerMomentum
MQL5 code base

This informative chart script displays selected trading conditions for the active pair in the chart’s upper-left area. The reported fields include the order freeze level, minimum and maximum trade sizes, lot increments, the minimum distance for placing…

OrdreutførelseMarkedsmikrostruktur
MQL5 code base

This MetaTrader indicator displays the direction or trade signal produced by the Stalin indicator for a chosen bar and timeframe. It marks continuing trends with a colored star and trend changes with a directional arrow, and can also issue alerts and audio…

Tekniske indikatorerTrendfølgende handel
ProRealCode

Time Segmented Volume (TSV) is a price-and-volume indicator intended to reveal accumulation and distribution. The described calculation assigns a signed volume contribution according to the direction of the close-to-close price change, then sums those…

Tekniske indikatorerAksjerMomentum
BigQuant

This weekly report assesses Chinese equity-market sentiment after a sharp March decline and a subsequent rebound. Its composite sentiment score rose from 38 to 51, while the authors judged that near-term further weakness had become less likely, despite…

AksjerMarkedssentimentFuturesOpsjoner
BigQuant

This tutorial develops a stock factor from the sum of trading volume during the first 15 minutes of a session. It explains why opening activity may be informative: overnight news is reflected in early trading, the opening period contributes to price…

AksjerTekniske indikatorerFaktorinvesteringHøyfrekvenshandel
BigQuant

The discussion compares quantitative research practices in China and overseas. It says Chinese investors more often try to predict stock prices directly, while overseas researchers may estimate missing observations, factor values, company revenue, or…

MaskinlæringStatistikkAksjerKinesiske markeder
SuperMind

This proposed Chinese equities screen selects stocks with turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and a recent seven-day low condition. The post presents the combination as a way to find active stocks amid a…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

This post proposes screening Chinese equities using three conditions: buying-pressure share above a threshold, prior-day turnover value above a threshold, and a high dividend ratio in a specified historical year. It frames buying pressure as a sign of…

AksjerKinesiske markederFaktorinvesteringHistorisk testing