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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.

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20,364 dokumenter
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
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ProRealCode
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
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Amberdata research
766 dokumenter
FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
vn.py community
560 dokumenter
QuantInsti blog
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Galaxy Research
340 dokumenter
QuantStart
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Stratmill research code
219 dokumenter
Robot Wealth
195 dokumenter
NautilusTrader
191 dokumenter
Hummingbot docs
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Paradigm research
175 dokumenter
Lumibot
164 dokumenter
Kraken Learn
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Bibliotek for kvantkurs
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
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Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
TqSdk
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Quantpedia
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Hyperliquid docs
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Freqtrade
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Hudson & Thames
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Awesome Systematic Trading
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backtrader
54 dokumenter
vn.py
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Binance API docs
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Quantopian-forelesninger
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FMZ guides
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pysystemtrade
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Freqtrade docs
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quant-trading
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FinRL
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Zipline
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Jesse
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pyfolio
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Alphalens
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WonderTrader
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
9 dokumenter
QTPyLib
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QuantRocket
7 dokumenter
Lumibot strategies
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Awesome Quant
1 dokumenter

Søk i biblioteket

79,386 dokumenter

BigQuant

This report compares AdaBoost, gradient boosting decision trees, and XGBoost as tools for selecting Chinese equities from factor data. Its workflow covers feature and label preparation, preprocessing, in-sample fitting, cross-validation, and out-of-sample…

MaskinlæringAksjerFaktorinvesteringHistorisk testing
MQL5 code base

The document briefly introduces r_Gator as an analogue of the Alligator technical indicator, with the stated aim of reducing signal lag. It notes that the indicator was first implemented in MQL4 and published in 2008. No formula, parameter settings, chart,…

Tekniske indikatorerTrendfølgende handel
BigQuant

This note shows how to construct a simple stock relative-return factor using a precomputed Chinese equity dataset. It identifies one field as each stock’s daily return and another as the CSI 300 index return, then defines relative return as the stock return…

AksjerKinesiske markederFaktorinvesteringStatistikk
SuperMind

This Chinese A-share screening idea combines three filters: daily price amplitude above a threshold, a minimum time since listing, and a MACD condition above the indicator’s zero axis. The article explains that amplitude is calculated from the day’s high and…

Kinesiske markederAksjerTekniske indikatorerMomentum
OctoBot

This product guide explains a redesigned strategy interface with two parts: a viewer for examining and comparing strategies, and a creator for configuring new tests. The viewer presents performance metrics, behavior over time, and individual trade details.…

KryptoHistorisk testingPorteføljekonstruksjonOrdreutførelse
SuperMind

This post outlines a Chinese stock screen for companies classified in the metaverse sector. It limits eligible stocks to those with circulating shares at or below 5.5 billion and excludes stocks that reached the upper price limit on the prior trading day. It…

AksjerKinesiske markederMomentumRisikostyring
SuperMind

This note describes a Chinese A-share screening rule for Shenzhen Main Board stocks. It combines daily amplitude above 1%, a reversal or engulfing-style signal, and positive price-to-earnings and price-to-book ratios below 29.01 and 3.11, respectively. The…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
BigQuant

This troubleshooting note addresses errors that arise after adding a rolling-training module to an AI strategy for convertible bonds. It points to a revised notebook and identifies two implementation changes associated with the fix. First, the rolling…

MaskinlæringHistorisk testingRentepapirerKinesiske markeder
MQL5 code base

This indicator description combines the Williams %R oscillator with Bollinger Band boundaries to define overbought and oversold areas. The band thresholds are intended to adapt to the oscillator’s behavior, rather than relying only on fixed levels. The…

Tekniske indikatorerValutahandelTilbakevending mot gjennomsnittetVolatilitet
FMZ live strategies

This live-robot dashboard records a crypto spot arbitrage system trading BTC/USDT across Gate and KuCoin, alongside a wider set of monitored assets. Its logs show paired buys and sells on the two venues, with the direction varying by trade. The displayed…

KryptoArbitrasjeSpotmarkederOrdreutførelse
BigQuant

This study applies a factor-timing framework from a 2019 paper to China A-share data. It parameterizes factor weights using external variables and compares two approaches based on where the information enters: a time-series model and a cross-sectional model.…

AksjerFaktorinvesteringStatistikkPorteføljekonstruksjon
SuperMind

This post describes a Chinese equity selection screen with three filters: price amplitude above 1%, a ten-day price gain greater than zero but below 35%, and circulating market capitalization between 5 billion and 10 billion yuan. Its accompanying Python…

AksjerKinesiske markederMomentumTekniske indikatorer
BigQuant

This short forum post asks how to export a backtest’s daily returns to a CSV file and where to place a suggested calculation in the BigQuant workflow. The proposed approach reads a performance DataFrame, adds one to the cumulative algorithm return, computes…

Historisk testingStatistikk
SuperMind

This post describes a stock screen requiring a daily price range greater than 1%, a trading date in 2021, and float market capitalization above 10 billion yuan. It presents these conditions as a way to identify higher-volatility shares while limiting the…

AksjerVolatilitetStatistikk
MQL5 code base

This Chinese-language post describes an equity screening rule using RSI below 65, a three-candle pattern described as three consecutive down candles, and prior-day turnover above 8%. It frames RSI and the candle sequence as signs of weakness, while high…

AksjerTekniske indikatorerMarkedssentiment
ProRealCode

This note presents a third-generation moving average attributed to Dr. Manfred G. Dürschner. It calculates a short-period average, then averages that result over a longer period, and combines the two with a coefficient derived from their relative lengths.…

Tekniske indikatorerStatistikk
SuperMind

This Chinese equity selection rule filters stocks by trading activity, prior-day leaderboard appearance, and the latest daily price change. It seeks names with turnover between 3% and 12%, a positive leaderboard flag on the preceding day, and a daily return…

AksjerKinesiske markederTekniske indikatorerMomentum
MQL5 code base

This Expert Advisor uses the AFIRMA autoregressive finite impulse response moving average indicator to generate trade signals. It checks for a change in the indicator’s direction when a bar closes, then forms a signal. The document notes that the indicator…

ValutahandelTekniske indikatorerHistorisk testingOrdreutførelse
vn.py community

This short forum exchange addresses a Python import error that appeared after upgrading VeighNa. A user reports that strategies which previously worked now fail because `AccountData` cannot be imported from the CTA strategy package. The reply identifies the…

Ordreutførelse
BigQuant

This report evaluates the Shanghai 180 index and the Hua An Shanghai 180 ETF. It describes an index weighted heavily toward financial companies and food and beverage firms, with large, liquid constituents. The report characterizes its recent one-, three-,…

AksjerKinesiske markederVolatilitetStatistikk
MQL5 code base

This Expert Advisor combines ADX, CCI, RVI, and Williams %R indicators with a martingale sizing approach. Its suggested tuning sequence first optimizes the main signal and ADX settings with the WPR strategy disabled, then tunes WPR separately, and finally…

ValutahandelTekniske indikatorerRisikostyringHistorisk testing
MQL5 code base

This indicator description defines alert conditions using Bollinger Bands and price envelopes together. A buy alert is triggered when a bullish candle opens and closes below both lower bands. A sell alert requires a bearish candle to open and close above…

Tekniske indikatorerTilbakevending mot gjennomsnittetVolatilitet
MQL5 code base

This MetaTrader 5 Expert Advisor description outlines a breakout scalping system that trades only when a set of filters align. It uses fast and slow exponential moving averages to define direction, an ATR-based threshold for trend strength, price location…

KursbruddTekniske indikatorerRisikostyringPosisjonsstørrelse
SuperMind

This Chinese stock-screening post describes a three-part selection rule: rank stocks by volume ratio and keep the top 100, require weekly MACD to be above zero, and exclude stocks whose gain at 9:25 is 6% or more. The author interprets the filters as…

AksjerTekniske indikatorerMomentum