Sări la conținut

Biblioteca de cunoștințe

Rezumate și idei principale din cărțile, lucrările, articolele și codul citite de agenții noștri AI, redactate de agentul de cercetare Stratmill. Fiecare pagină trimite la sursa originală.

Quant Q&A
20,364 documente
SuperMind
12,226 documente
OKX Learn
8,431 documente
Strategy library
7,910 documente
MQL5 code base
7,090 documente
BigQuant
3,481 documente
Bitget Academy
3,298 documente
MQL5 articles
3,012 documente
TradingView scripts
1,976 documente
ProRealCode
1,507 documente
Deribit Insights
1,232 documente
Machine Learning for Trading
1,124 documente
arXiv papers
1,033 documente
Amberdata research
766 documente
FMZ forum
682 documente
FMZ digest
662 documente
vn.py community
560 documente
QuantInsti blog
511 documente
Galaxy Research
340 documente
QuantStart
246 documente
Stratmill research code
219 documente
Robot Wealth
195 documente
NautilusTrader
191 documente
Hummingbot docs
181 documente
Paradigm research
175 documente
Lumibot
164 documente
Kraken Learn
163 documente
Biblioteca cursurilor cuantitative
157 documente
OctoBot
152 documente
Cryptohopper blog
144 documente
Systematic trading blog (Rob Carver)
132 documente
Qlib
116 documente
Quantpedia
86 documente
TqSdk
86 documente
Hyperliquid docs
79 documente
Freqtrade
68 documente
Hudson & Thames
62 documente
Awesome Systematic Trading
61 documente
backtrader
54 documente
vn.py
50 documente
Prelegeri Quantopian
45 documente
Binance API docs
45 documente
FMZ guides
38 documente
pysystemtrade
34 documente
Freqtrade docs
32 documente
quant-trading
31 documente
FinRL
28 documente
Zipline
22 documente
FMZ live strategies
21 documente
Jesse
17 documente
pyfolio
16 documente
Alphalens
14 documente
WonderTrader
14 documente
backtesting.py
11 documente
Technical Analysis
9 documente
QTPyLib
8 documente
QuantRocket
7 documente
Lumibot strategies
7 documente
Awesome Quant
1 documente

Caută în bibliotecă

3,481 documente

BigQuant

This note describes a stock risk factor based on the Sharpe ratio over a 20-day period. It defines the measure as annualized stock return minus a risk-free rate, divided by the stock return standard deviation. The stated risk-free rate is 0.04. The factor is…

AcțiuniInvestiții bazate pe factoriGestionarea risculuiStatistică
BigQuant

The document introduces the True Strength Index (TSI), a price momentum indicator calculated from closing prices. It first measures the close-to-close change and its absolute value, then applies two exponential moving average smooths to each series. The…

Indicatori tehniciMomentumAcțiuni
BigQuant

This research explores whether intraday price and volume relationships can improve stock selection. It builds three signals from price–volume correlation: its average level, its stability over time, and its trend. The average signal adjusts conventional…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriIndicatori tehnici
BigQuant

This report examines institutional investors’ holdings and style preferences, focusing on Chinese equities and summarizing US institutional ownership for context. It outlines four possible data sources for monitoring institutions: macro indicators, trading…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriConstruirea portofoliului
BigQuant

This report describes ways to study institutional investors’ market footprint and preferences in Chinese equities. Because many institutions do not disclose complete holdings, it proposes classifying shareholder accounts from listed companies’ public…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriConstruirea portofoliului
BigQuant

This report explains how to isolate a desired equity style factor while controlling exposure to other factors. It contrasts full replication, which reproduces modeled pure-factor returns but does not control ex ante risk, with constrained mean-variance…

AcțiuniInvestiții bazate pe factoriConstruirea portofoliuluiGestionarea riscului
BigQuant

This review summarizes research on whether anchoring to a stock’s 52-week high helps explain why prices respond slowly to news about economically connected firms. Its central hypothesis is that investors underreact to good news about a customer when a…

AcțiuniMomentumInvestiții bazate pe factori
BigQuant

This article proposes a visual exit technique combining a moving average with a horizontal line drawn from a recent swing high or low. For a long position, the trader marks a visible high, extends a horizontal reference, and treats the bar vertically aligned…

AcțiuniIndicatori tehniciUrmărirea tendințeiGestionarea riscului
BigQuant

This Chinese-language strategy note surveys ways to connect macro conditions, company fundamentals, valuation, and sector performance. It describes a credit and earnings framework for market regimes, a rolling stock-bond yield spread as a relative valuation…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriStatistică
BigQuant

This research summary presents factor timing as a risk-control problem rather than solely as a return-forecasting problem. It proposes adjusting the upper and lower bounds on factor exposures in a portfolio, with those limits informed by factor risk,…

Investiții bazate pe factoriGestionarea risculuiConstruirea portofoliuluiTestare istorică
BigQuant

This Chinese-language brokerage research summary examines advanced driver-assistance systems in China, focusing on adoption, technology requirements, supplier roles, and domestic competition. It describes ADAS as a chain of perception, planning, decision,…

AcțiuniPiețele din ChinaÎnvățare automată
BigQuant

This platform guide describes two ways to organize data preparation and simulated trading. In one workflow, a separate task cleans and stores factors, then a trading task consumes its output. In the other, one task first prepares and saves the data and then…

ExecuțieTestare istorică
BigQuant

The article discusses three reported Chinese equity-market changes: wider daily price limits for risk-warning stocks, expanded after-hours fixed-price trading, and revised ChiNext listing standards that place more weight on growth and research investment. It…

Piețele din ChinaAcțiuniExecuțieMicrostructura pieței
BigQuant

This overview introduces the Fama-French five-factor asset pricing model as an extension of the three-factor model. It describes the market risk premium, size, value, profitability, and investment-style factors, and explains each as a return spread between…

AcțiuniInvestiții bazate pe factoriStatisticăConstruirea portofoliului
BigQuant

This strategy selects stocks that open above the previous close and have a five-day closing-price average above the ten-day average. Among qualifying stocks, it ranks by price-to-earnings ratio in ascending order and chooses the first ten; purchases are…

AcțiuniMomentumIndicatori tehniciTestare istorică
BigQuant

This document summarizes the SEC’s 2019 adoption of Rule 6c-11, which lets many ETFs operate under the Investment Company Act of 1940 and list without seeking an individual exemptive order. It frames the rule around regulatory exemptions, custom creation and…

AcțiuniPiețele din SUAMicrostructura pieței
BigQuant

This student submission translates a Chinese stock trading pattern into explicit screening and trading rules. The setup looks for a declining session after a limit-up day, with current volume twice the prior day’s volume. The stock is then watched, with…

AcțiuniStrăpungereMomentumIndicatori tehnici
BigQuant

The document presents a SQL query for calculating a stock’s five-day price return and ranking that return against other stocks on the same date. It uses a window function to retrieve each instrument’s close from five trading rows earlier, then computes the…

AcțiuniStatisticăPiețele din China
BigQuant

The document explains how to restrict a Chinese stock machine-learning dataset to shares that closed at their daily price limit, or to shares that hit the limit on the previous trading day. It describes filtering factor data by limit-status value and using a…

AcțiuniPiețele din ChinaÎnvățare automatăTestare istorică
BigQuant

This guide explains how to monitor a StockRanker model’s validation performance during training. It recommends preparing a validation dataset, either from a separate data module or by reusing the training data, and connecting it to the model’s validation…

Învățare automatăStatisticăTestare istorică
BigQuant

This short indicator reference defines a Keltner Channel using high, low, and close price data alongside three parameters: the moving-average period, the ATR period, and a multiplier. It first calculates an average of true range over the selected ATR period.…

Indicatori tehniciVolatilitate
BigQuant

This document outlines a two-stock pairs strategy based on a presumed long-term cointegrating relationship. It fits a linear relationship between the stocks’ prices, calculates the residual, and standardizes that residual over a rolling history. When the…

AcțiuniTranzacționarea perechilorRevenire la medieTestare istorică
BigQuant

This article outlines a workflow for adding intraday monitoring and automated execution to a BigQuant equity strategy. Its premise is that factor calculations may produce a next-day trading plan only after the market closes, leaving no mechanism to react to…

AcțiuniExecuțieMicrostructura piețeiPiețele din China
BigQuant

This essay uses an unfinished introduction to a supposed futures reversal method to illustrate the appeal and danger of searching for secret signals. It does not describe a specific entry rule or demonstrate that any reversal strategy works. Instead, it…

Contracte futuresGestionarea risculuiDimensionarea pozițiilor