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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
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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 stock screen selects shares with daily amplitude above 1%, a positive return over ten days that remains below 35%, and previous-day turnover above 8%. The document interprets amplitude as a measure of market movement, the bounded return as a way to…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock-selection screen combines three technical conditions: daily amplitude above 1%, weekly MACD above zero, and at least one limit-up session within the previous 25 days. The document presents these as filters for volatility, positive trend…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document describes an A-share stock screen combining a price-amplitude threshold, a nonempty name for an outstanding convertible bond, and more than two limit-up sessions within a recent ten-day window. It proposes ranking qualifying stocks by limit-up…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This proposed stock screen combines a 14-period RSI below 65 with three consecutive down sessions and a nonempty field for outstanding convertible bond identification. The post presents the RSI and consecutive declines as technical filters for stocks with…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This stock screen selects securities whose daily high-low range exceeds one percent, whose ten-day price gain is positive but below 35%, and whose codes begin with 60. The article interprets the range condition as a volatility filter and the recent return…

AkcijasĶīnas tirgiSvārstīgumsCenas impulss
SuperMind

This stock-selection rule combines three filters: amplitude above 1, a positive weekly MACD-style histogram, and a nonempty name for an outstanding convertible bond. The document frames the amplitude as a volatility condition, the weekly signal as evidence…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

This stock screen combines three conditions: daily price amplitude above 1%, a 2019 dividend yield above 25%, and the 20-day moving average above the 120-day moving average. The document presents the combination as a way to find volatile stocks with a strong…

AkcijasTehniskie indikatoriSekošana tendenceiRiska pārvaldība
SuperMind

This Chinese-equity screening proposal combines alignment among at least five moving averages with a condition that the 20-day average exceeds the 120-day average. It also calls for considering company characteristics, including industry context,…

AkcijasTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
SuperMind

This note describes a simple Chinese-equity screen using three conditions: daily high-low range relative to the prior close above a threshold, closing price above its five-day moving average, and a closing price of 18.5 yuan. The accompanying explanation…

AkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This review compares passive and active approaches to protecting U.S. equity portfolios during severe drawdowns and recessions. Its sample covers 1985–2018, including eight equity declines greater than 15% and three U.S. recessions. It discusses rolling S&P…

AkcijasNākotnes līgumiOpcijasSekošana tendencei
SuperMind

The post proposes a Chinese equity screen combining daily price amplitude above 1%, a robotics concept classification, circulating market value below 10 billion, and selected beverage or alcohol related industries. It outlines the conditions in prose and…

AkcijasTehniskie indikatoriĶīnas tirgiFaktoru ieguldīšana
SuperMind

This stock screen looks for a daily range above 1%, rising bottoms, and an opening price within 5% of the 10-day moving average. The intended logic is to combine active price movement with improving support and an opening level near a short-term trend…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This stock-screening proposal combines a daily high-low range greater than 1%, a large-order net-flow measure, and a KDJ K-value change. It describes ranking candidates by KDJ change and frames the approach as a short- or medium-term technical screen. The…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This stock screen combines three filters: membership in the metaverse theme, a previous-day price at or above the 250-day moving average, and an external-to-internal trade volume ratio above 1.3. The article interprets the long moving average as a trend…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document describes a Chinese equity screening idea that ranks stocks by capital-flow strength, then selects companies with no losses, market capitalization below a stated threshold, and more than two limit-up sessions in the recent ten-day window. It…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This document presents a simple Chinese equity screening rule: select stocks with turnover between 3% and 12%, circulating market capitalization between 5 billion and 10 billion yuan, and a positive return. It gives both a formula-style expression and a…

Ķīnas tirgiAkcijasFaktoru ieguldīšana
SuperMind

This Chinese equity screening idea combines price amplitude above 1%, appearance on the prior day’s trading list, and return on equity above 15% for five consecutive years. The post frames these conditions as a blend of short-term volatility, market…

AkcijasSvārstīgumsTirgus noskaņojumsFaktoru ieguldīšana
SuperMind

This post outlines a Chinese equity screen combining daily price amplitude above 1%, a 2021 date condition, and three consecutive limit-up sessions. Its final stated criteria also require trailing price-to-earnings below 30 and price-to-book below 5. The…

AkcijasSvārstīgumsCenas impulssTehniskie indikatori
SuperMind

This Chinese-language post proposes screening stocks with at least five moving averages converging, an outstanding convertible-bond name, and a price gain below 6% at 9:25. It describes the moving-average condition as a way to find stocks with a potentially…

Ķīnas tirgiAkcijasTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This Chinese stock-selection example targets companies in the metaverse industry whose opening price is near or above a ten-day moving average and whose reported daily position growth exceeds five percent. The article frames the moving-average condition as a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The article explains backtesting as a way to replay trading rules on historical data, check whether signals and logic behave as intended, and expose strategy defects before deployment. It emphasizes that historical simulation can test market assumptions, but…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūraStatistika
SuperMind

This proposed stock-selection method combines three conditions: a historical dividend payout ratio above a stated cutoff, an opening price near the ten-day moving average, and at least five moving averages described as overlapping. The rationale is to find…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This Chinese-market stock screen selects shares whose daily high-low range exceeds a threshold, that did not close at the upper price limit on the previous day, and whose current-day return is positive. The stated rationale is to avoid very quiet stocks,…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post describes a Chinese A-share screening rule that combines a daily high-low range above one percent, a date filter for 2021, and a condition intended to identify a prior session's 9:15 matched price at the limit-down level. It sketches equivalent…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori