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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
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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
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Lumibot
164 dokument
Kraken Learn
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Kursbibliotek för kvantitativ handel
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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
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backtrader
54 dokument
vn.py
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Quantopian-föreläsningar
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FMZ guides
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pysystemtrade
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quant-trading
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FinRL
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Zipline
22 dokument
FMZ live strategies
21 dokument
Jesse
17 dokument
pyfolio
16 dokument
WonderTrader
14 dokument
Alphalens
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

MQL5 code base

The document presents a small open-source shield intended to check trading against prop firm account limits. Its usage outline initializes the tool with account balance and a firm profile, then updates it with equity and balance information on each tick.…

RiskhanteringPositionsstorlek
vn.py

The document introduces VeighNa, an open-source Python framework for quantitative trading, with particular attention to its vnpy.alpha module. That module organizes research into feature creation, model training, strategy development, and workflow…

MaskininlärningFaktorinvesteringBacktestningFlera tillgångsslag
MQL5 code base

This brief description presents a higher-timeframe variant of the ColorMFI_X20_Cloud indicator. Its key feature is a configurable timeframe input, with a four-hour period shown as the default. The indicator can therefore calculate using a period different…

Tekniska indikatorerHögfrekvenshandel
SuperMind

This note outlines a Chinese equity screen for metaverse-themed stocks. It combines a relationship to the five-day moving average with three consecutive sessions in which the close is below the open. The article interprets the moving-average condition as a…

AktierTekniska indikatorerKinesiska marknader
SuperMind

This note describes a simple Chinese equity screen combining metaverse-theme membership, a close above the previous session’s low, and a closing price fixed at 18.5 yuan. It presents the prior-low comparison as a short-term price-strength condition and…

AktierTekniska indikatorerKinesiska marknader
BigQuant

This guide presents a relative strength index strategy using overbought and oversold thresholds. It describes calculating RSI from rolling average gains and losses, generating short signals above 70 and long signals below 30, and optionally filtering trades…

Tekniska indikatorerMedelvärdesåtergångBacktestningRiskhantering
SuperMind

This note describes a stock-selection screen for Chinese equities that keeps stocks with turnover between 3% and 12%, excludes Beijing-listed shares, and ranks candidates by a money-flow strength measure. Its formula reference relates the strength measure to…

AktierKinesiska marknaderMarknadssentimentMarknadsmikrostruktur
SuperMind

This note outlines an A-share stock screen combining metaverse sector membership, a rounded or arc-shaped price pattern, and return on equity above 15% for five consecutive years. It then adds a monthly five-period moving average crossing above the…

AktierKinesiska marknaderTekniska indikatorerFaktorinvestering
SuperMind

The proposed screen combines three stock characteristics: price amplitude above one, a circulating share count no greater than 5.5 billion, and a 20-day concentration measure below 70%. The article presents the amplitude condition as a way to find more…

AktierKinesiska marknaderTekniska indikatorerVolatilitet
SuperMind

This screen focuses on stocks classified in the metaverse industry. It selects the five highest-ranked by the day's opening auction amount and requires the 30-day moving average to be above the 60-day moving average, using the relationship as a basic trend…

AktierKinesiska marknaderMomentumTekniska indikatorer
SuperMind

The article proposes screening Chinese stocks using price amplitude, company quality, and performance tied to 2021. Its expanded version adds valuation and fundamental comparisons, allows technical indicators such as KDJ, RSI, or MACD, and suggests…

AktierKinesiska marknaderTekniska indikatorerFaktorinvestering
SuperMind

This stock screen combines three signals: rank stocks by money-flow strength, require weekly MACD to be above zero, and look for shrinking negative MACD histogram bars on a 15-minute chart. The weekly condition is intended to favor stocks in an established…

AktierKinesiska marknaderTekniska indikatorerMomentum
BigQuant

This summary describes a method for constructing broad stock factor exposures and checking factor usefulness in a multifactor model. It presents returns as a linear combination of factor contributions plus an unexplained residual, and emphasizes examining…

AktierFaktorinvesteringStatistikPortföljkonstruktion
vn.py community

This short forum exchange addresses whether users can add their own trading strategies to the VeighNa community edition. A user with little programming experience asks how to implement a strategy already used by a friend. The reply says custom development is…

TerminerOrderutförande
SuperMind

The document proposes a stock screen combining three criteria: recent price amplitude above a stated threshold, circulating market capitalization above a stated level, and a stock code beginning with 60. It frames the screen as a way to find larger,…

AktierKinesiska marknaderVolatilitetTekniska indikatorer
MQL5 code base

This document outlines a simple Expert Advisor that evaluates a pivot derived from the prior bar’s high and low. It describes opening trades from the relationship between the current bar’s open, the prior high, and the pivot, then comparing successive pivots…

ValutahandelTekniska indikatorerMedelvärdesåtergång
Amberdata research

This beginner-oriented guide recommends planning trades in advance, researching assets before buying, and avoiding impulsive decisions driven by hype or fear of missing out. It advocates diversification across crypto assets, monitoring Bitcoin as a possible…

KryptoRiskhanteringPositionsstorlekTekniska indikatorer
Amberdata research

This weekly crypto market report assesses a recovery in prices by combining spot performance with trading volume, volatility, open interest, funding, order book depth, ETF flows, stablecoin issuance, and DeFi credit measures. It interprets rising prices…

KryptoVolatilitetMarknadsmikrostrukturMarknadssentiment
MQL5 code base

This document describes a market sentiment indicator that classifies conditions as bullish or bearish using limit order book data on centralized markets. Its inputs include minimum qualifying order volume, minimum order count, and thresholds for differences…

MarknadssentimentMarknadsmikrostrukturTerminerTekniska indikatorer
SuperMind

This A-share stock-selection proposal combines three conditions: RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders within a stated positive range, and a recent two-day high condition. It presents the combination as…

AktierTekniska indikatorerMomentumKinesiska marknader
BigQuant

This research report proposes improving a conventional stock reversal signal by splitting each stock’s recent daily returns according to average trade size. For each lookback window, it ranks days by daily turnover divided by trade count, compounds returns…

AktierMedelvärdesåtergångFaktorinvesteringMarknadsmikrostruktur
SuperMind

This Chinese A-share screening proposal combines a technical filter, a trading-flow condition, and a turnover range. It selects stocks with RSI below 65, positive multiplication of price change by net flow from very large orders, and turnover above 2% but…

AktierTekniska indikatorerMarknadsmikrostrukturKinesiska marknader
MQL5 code base

This brief description presents a standard ZigZag indicator supplemented with support and resistance levels. ZigZag marks selected price swings, while the added levels provide a way to view potential areas where price may encounter support or resistance. The…

Tekniska indikatorer
SuperMind

This proposed Chinese equity screen combines three conditions: the stock's intraday high-low range exceeds one percent of its closing price, the prior session was not limit-up, and the article's external-to-internal trading measure exceeds 1.3. The author…

AktierTekniska indikatorerMomentumRiskhantering