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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
TqSdk
86 documente
Quantpedia
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
Binance API docs
45 documente
Prelegeri Quantopian
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

79,386 documente

SuperMind

The article surveys the development of quantitative trading through stories about Jules Regnault, Edward Thorp, and James Simons. It describes using historical price data and mathematical models to identify market patterns, Thorp’s probability-based…

StatisticăÎnvățare automatăActive din mai multe claseGestionarea riscului
SuperMind

This Chinese stock-screening proposal selects high-amplitude shares that had three consecutive limit-up sessions, then checks whether the latest close lies between the middle and upper Bollinger Bands. The post presents the sequence as a way to find active…

Piețele din ChinaAcțiuniIndicatori tehniciStrăpungere
MQL5 code base

This indicator guide explains how logarithmic transformations can express price behavior in relative rather than absolute terms. It distinguishes a log price, calculated as the natural logarithm of the close, from log returns, calculated as the difference…

Indicatori tehniciStatisticăVolatilitateMomentum
SuperMind

This stock-screening idea combines three conditions: at least five moving averages converge, company scale exceeds two hundred million in the source’s stated units, and the dividend payout ratio for 2019 is above 25 percent. The post interprets converging…

Piețele din ChinaAcțiuniIndicatori tehniciInvestiții bazate pe factori
BigQuant

This older Chinese-equity strategy looks for stocks that rally to the daily limit, pull back, and later break to a new high. It defines a pullback as any post-limit-up close below the earlier limit-up price. After the pullback, a new high triggers a purchase…

Piețele din ChinaAcțiuniStrăpungereMomentum
SuperMind

This screening approach focuses on stocks classified in the metaverse sector, with actual turnover on the prior day between 3% and 28%, and a rising KDJ K value. The article interprets sector membership as exposure to a potentially growing theme, turnover as…

AcțiuniIndicatori tehniciMomentumPiețele din China
SuperMind

The proposed stock screen selects equities with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a K-line value below 20. The article characterizes these as technical conditions and suggests the combined filters…

AcțiuniIndicatori tehniciMicrostructura pieței
MQL5 code base

This Expert Advisor combines entry signals from the DeMarker oscillator with a position-sizing rule that increases the lot after a losing trade. It exposes the oscillator period, take-profit distance, stop-loss distance, initial lot size, a trade identifier,…

Indicatori tehniciDimensionarea pozițiilorGestionarea risculuiTestare istorică
SuperMind

This document describes a Chinese equity screen that combines three conditions: daily amplitude above 1%, weekly MACD above the zero axis, and positive net buying attributed to major investors during the opening auction. It frames the range and MACD measures…

AcțiuniPiețele din ChinaIndicatori tehniciMomentum
SuperMind

This document proposes a weekly Chinese equity screen focused on metaverse-related stocks. It selects shares that recorded a limit-up within the prior 25 days and had large-order net volume above 0.05 for at least three consecutive days. The stated approach…

AcțiuniPiețele din ChinaMomentumIndicatori tehnici
SuperMind

This document describes a Chinese equity screening rule that combines a turnover range of 3% to 12%, a stochastic K value below 20, and a rising MACD signal line (DEA). It presents the conditions as a buy signal and gives example implementations using a…

AcțiuniIndicatori tehniciMomentum
SuperMind

This document presents an A-share stock screen that combines a turnover range of 3% to 12%, a newly formed KDJ golden cross, and a volume ratio between 1.5 and 6. It describes turnover and the crossover as participation and trend signals, while the volume…

AcțiuniIndicatori tehniciMomentumMicrostructura pieței
MQL5 code base

This brief page describes an MQL5 indicator for Chaikin smoothed volatility that allows the user to select the chart timeframe through an input parameter. The default shown is a four-hour period. The page is primarily an indicator listing and setup note: it…

VolatilitateIndicatori tehnici
SuperMind

This A-share screening idea selects stocks with a MACD line above zero, high relative investor attention, trading volume above a stated threshold, and an opening price above the previous close. The screen is run after the daily close. Its rationale is to…

AcțiuniPiețele din ChinaMomentumIndicatori tehnici
ProRealCode

This stock strategy builds a daily signal from two nested exponential moving averages: a longer average of closing prices and a shorter average of that result. Their percentage difference serves as a proxy for comparing daily and weekly RSI behavior around…

AcțiuniIndicatori tehniciVolatilitateGestionarea riscului
SuperMind

This post describes a Chinese A-share stock screen based on three conditions: price amplitude above one percent, a nonempty name for an outstanding convertible bond, and at least one daily gain of ten percent or more during the previous 25 trading days. It…

Piețele din ChinaAcțiuniMomentumIndicatori tehnici
BigQuant

This Chinese-language conference excerpt introduces how artificial intelligence is being adopted by global asset managers. It frames technology as one response to falling margins per unit of managed assets, alongside efforts to grow assets under management.…

Învățare automatăInvestiții bazate pe factoriConstruirea portofoliuluiSentiment
Amberdata research

The newsletter links weaker U.S. payroll data and expectations for Federal Reserve rate cuts with diverging moves in gold and crypto. It interprets low VIX readings, short VIX futures positioning, and differences between September and October VIX futures as…

CriptoOpțiuniVolatilitateEvaluarea derivatelor
SuperMind

This document proposes screening Chinese stocks with codes beginning in 60 for turnover between 3% and 12% that appeared on the prior day’s market watchlist, known as the Dragon and Tiger List. Turnover is treated as a liquidity filter, while the watchlist…

AcțiuniPiețele din ChinaMicrostructura piețeiSentiment