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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 note describes a screen for metaverse-related equities using two signals: prior-day actual turnover between 3% and 28%, and large-order net volume above 0.05 for at least three consecutive days. The article interprets the turnover band as evidence of…

AksjerKinesiske markederTekniske indikatorerMomentum
Amberdata research

This note proposes screening equities for intraday amplitude above 1, prior-day actual turnover between 3% and 28%, and positive net large-order flow during the afternoon. The combined filters aim to find shares showing both price movement and trading…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

This recap of an Amberdata and Blockworks webinar discusses institutional participation in Bitcoin markets, with attention to derivatives, market structure, and the possible effects of a spot exchange-traded fund. It frames Bitcoin's 2023 performance and…

KryptoOpsjonerFuturesVolatilitet
SuperMind

This note describes a short-term screen for metaverse-related equities. It selects stocks that had at least one limit-up session during the prior 25 days and whose current opening price is near the 10-day moving average. The stated rationale is that recent…

AksjerKinesiske markederTekniske indikatorerMomentum
Awesome Systematic Trading

The document describes a U.S. equity strategy based on balance-sheet accruals, the noncash component of reported earnings. It estimates accruals from annual changes in current assets, cash, current liabilities, short-term debt, income taxes payable, and…

AksjerFaktorinvesteringPorteføljekonstruksjonHistorisk testing
SuperMind

This article presents a technical screen for stocks associated with the metaverse theme. It looks for an opening price around the 10-day moving average and requires the current close to exceed the previous session’s low. The proposed logic combines sector…

AksjerKinesiske markederTekniske indikatorerMomentum
BigQuant

This BigQuant user question concerns a feature expression that calculates how many days have elapsed since a limit-up event within a recent window. The example marks sessions where return exceeds a threshold and the close equals the high, then uses a rolling…

AksjerKinesiske markederTekniske indikatorer
SuperMind

This article describes a Chinese A-share screen for stocks in the metaverse concept group. It selects names whose reported 9:25 price change is below 6% and whose previous session did not close at the daily upper price limit. The rationale is to focus on the…

AksjerKinesiske markederTekniske indikatorerMomentum
MQL5 code base

This document describes a date-based function for classifying a timestamp as summer or winter time. It assumes the European daylight-saving calendar described in the text: summer time begins on the last Sunday in March and ends on the last Sunday in October.…

ValutahandelOrdreutførelse
MQL5 code base

This brief indicator description explains how StepMA_3D_v3 visualizes the relationship between three trend speeds. It colors the area between the medium and slow trends, then changes the fast trend line’s color according to its position. The display is…

Tekniske indikatorerTrendfølgende handel
SuperMind

This Chinese stock-selection post describes a short-term momentum screen for A-shares. It combines turnover between 3% and 12%, an opening price within about 5% of the ten-day moving average, and a recent three-session limit-up streak. The stated rationale…

AksjerMomentumKursbruddTekniske indikatorer
MQL5 code base

This Expert Advisor uses changes in the direction of a moving average associated with the Balance of Power Histogram to generate trading signals when a bar closes. The document frames the strategy around a directional shift in the indicator rather than a…

ValutahandelTekniske indikatorerHistorisk testing
SuperMind

This proposed stock screen combines an amplitude threshold, a shortening negative MACD histogram on a 15-minute chart, and a stock-code prefix. The stated rationale is to find volatile shares whose downside momentum may be easing, then focus the search on a…

AksjerKinesiske markederMomentumTekniske indikatorer
MQL5 code base

Ease of Movement Value (EMV), developed by Richard W. Arms Jr., is a technical indicator intended to describe how easily price moves. It relates the change in the midpoint of the current high-low range to trading volume adjusted by the current range. Larger…

Tekniske indikatorer
SuperMind

This post outlines a Chinese equity screen that ranks stocks by capital strength and requires more than two limit-up sessions in the recent ten-day window, alongside at least two limit-up sessions over a 500-day lookback. Its proposed final version adds a…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This post describes a Chinese stock selection screen based on turnover between 3% and 12%, appearance on the previous day’s trading leaderboard, and a current control indicator above 21. It also gives a formula-style expression and a Python example that…

AksjerKinesiske markederTekniske indikatorerMarkedssentiment
vn.py community

The post questions whether the minimum option price checks used before implied volatility calculations are correct in the Black–Scholes and Black–76 models. It observes that the two implementations use the same expressions, even though Black–76 uses a…

OpsjonerPrising av derivaterStatistikk
ProRealCode

This indicator description explains a Relative Strength Index tool that marks overbought and oversold states, then uses those states to define price channels and identify swing pivots. Users can adjust the RSI period and threshold levels, with shorter…

Tekniske indikatorerTilbakevending mot gjennomsnittetMomentumRisikostyring
SuperMind

This Chinese equity-screening note combines four conditions: price amplitude above 1%, current trading volume above 10,000 lots, a higher opening price, and circulating market capitalization above 10 billion yuan. It frames the screen as a way to find…

AksjerKinesiske markederTekniske indikatorerRisikostyring
SuperMind

This Chinese stock-screening note proposes ranking shares by capital-flow strength, considering company type, and requiring more than two limit-up sessions within the previous ten days. The discussion interprets repeated limit ups as evidence of strong…

AksjerKinesiske markederMomentumKursbrudd
SuperMind

This Chinese stock-selection note describes a screen combining three conditions: a price range above 1%, net buying by large orders in the afternoon, and a 2019 dividend payout ratio above 25%. It presents the conditions as a mix of trading activity and a…

AksjerKinesiske markederTekniske indikatorerRisikostyring
SuperMind

The screening rule selects stocks whose codes begin with 60, whose turnover rate falls between 3% and 12%, and whose best-level bid volume exceeds best-level ask volume. The document presents the bid-versus-ask comparison as a way to incorporate liquidity…

AksjerKinesiske markederMarkedsmikrostrukturTekniske indikatorer
MQL5 code base

TrendChannel is a technical indicator that draws two trend lines based on the closest price extremes. The description identifies the indicator’s author and notes that an earlier version was implemented in MQL4 and published in a code library. Its stated…

Tekniske indikatorerAksjer
BigQuant

This report introduces a quantitative research approach that combines behavioral finance with trading indicators. It centers on George Soros’s theory of reflexivity and the author’s use of volume measures, with the stated aim of developing an indicator…

AksjerTekniske indikatorerStatistikk