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Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

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

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

This document outlines a China A-share stock selection strategy using market, size, and book-to-market factors. It starts with constituents of a benchmark index, filters out stocks that are suspended or marked as special treatment, and uses a historical…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaStatistika
SuperMind

This document describes a short-term Chinese equity screen using three conditions: turnover within a specified band, appearance on the prior day’s Dragon-Tiger list, and a positive but capped return over the preceding ten days. It presents the screen as a…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This document explains industry rotation as a strategy that shifts equity exposure toward sectors showing stronger performance and may reduce equity holdings when conditions look unfavorable. It discusses possible drivers, including economic cycles, policy,…

Ķīnas tirgiAkcijasCenas impulssSekošana tendencei
SuperMind

The document proposes a stock screen combining a 14-period RSI below 65, three consecutive declining sessions, and positive afternoon large-order net inflow. It frames the filters as a blend of technical conditions and money-flow information, intended to…

AkcijasTehniskie indikatoriCenas impulssTirgus noskaņojums
SuperMind

This example describes a screen for Chinese stocks associated with the metaverse theme. Its stated conditions include a relative-volume range, a low K-line measure, and, in the final version, a market-capitalization ceiling. The article frames the…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese A-share screening example combines a positive MACD reading with an upward-moving-average condition and a limit on the stock’s price change around the market open. It describes the intended interpretation as selecting stocks with upward momentum…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This A-share screening idea combines a daily net-buying condition with two trend filters: today’s position increase must exceed 5%, the weekly close must cross above its 30-week average, and the 20-day moving average must be above the 120-day average. The…

Ķīnas tirgiAkcijasSekošana tendenceiTehniskie indikatori
SuperMind

This A-share stock screen combines three conditions: RSI below 65, an external-to-internal trade-volume ratio above 1.3, and a positive daily MACD measure. The text interprets the RSI threshold as avoiding an overbought reading, the trade ratio as a sign of…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The strategy screens Chinese stocks using three conditions: price amplitude above 1, tradable share float no greater than 5.5 billion shares, and a positive return over the prior seven trading sessions. It describes the amplitude and positive return filters…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese stock-screening proposal selects companies associated with the metaverse theme, showing a custom arc-shaped price pattern, and with MACD below zero two sessions earlier. Its final stated rules add a price-to-book ratio no greater than 3. The…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This post describes a daily stock screen that combines three conditions: a price range threshold, prior-day turnover within a specified band, and a positive daily MACD value. The stated rationale is to combine price movement and trading activity with a trend…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This post proposes placing A-shares in a candidate pool when their daily high-low range exceeds 1%, the observation falls in 2021, and MACD is above zero. It interprets the range condition as a sign of greater price movement and positive MACD as a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This China-market stock screen selects shares with turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and a positive price-to-earnings ratio. The stated rationale is to combine liquidity, recent market attention, and a basic…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This article examines stop-loss decisions in frequently trading strategies, especially market making. It describes a method that adjusts order submission probabilities when market direction appears unfavorable, cancels resting orders, and tracks the…

KriptoaktīviTirgus veidošanaRiska pārvaldībaRīkojumu izpilde
SuperMind

This note proposes screening stocks associated with China’s metaverse sector for three simultaneous bullish technical crossovers: MACD over its signal line, the five-day average over the ten-day average, and the five-day average over the twenty-day average.…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note describes a Chinese equity screen combining prior-day price amplitude, appearance on a market trading list, market capitalization below the stated ceiling, and positive recent profit and return on equity. Its rationale is to find active stocks with…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This post describes a Chinese-market stock screen that selects mainboard shares with turnover between 3% and 12%, a daily gain above 1%, and a previous-day 9:15 matched price at the limit down. Its rationale is that moderate turnover and positive current…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This post describes a Chinese equity screen combining a prior-session price-range condition, a cap on freely tradable shares, and a minimum previous-day trading value. The stated purpose is to find stocks with both some price movement and enough trading…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This post describes a daily stock screen for main-board shares using three conditions: RSI below 65, a gain greater than 1% for the day, and daily MACD above zero. It frames the filters as a way to find stocks with positive recent movement while avoiding…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This post outlines an equity screen using three conditions: daily price amplitude above 1%, tradable share float no greater than 5.5 billion shares, and a positive change in the K component of the KDJ indicator. It frames the filters as a way to find more…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-selection post proposes screening A-shares for turnover between 3% and 12%, a newly formed KDJ bullish crossover, and a positive 10-day price change below 35%. It provides indicator formula references and a Python example that loops over…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock-screening idea combines three filters: at least five moving averages converging, high individual-stock popularity, and a market capitalization below 10 billion yuan with no reported losses. The post interprets moving-average convergence as a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss