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Zināšanu bibliotēka

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
Quantpedia
Dokumentu skaits: 86
TqSdk
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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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 Tonghuashun’s backtesting support and gives example strategies for Chinese stocks, convertible bonds, and funds. It describes supported data intervals, transaction costs, slippage, corporate-action adjustments, and order matching. The…

Ķīnas tirgiAkcijasTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This post describes a Chinese equity screening rule combining daily turnover, the opening price relative to the 10-day moving average, and a ratio that scales the previous day's turnover by the current opening auction volume relative to the previous day's…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

The post describes a stock screen combining four conditions: daily amplitude above one percent, a 2021 trading date, membership in the robot concept group, and circulating market capitalization below ten billion yuan. It provides equivalent examples in a…

Ķīnas tirgiAkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This document describes an equity screen requiring price amplitude above one, a KDJ value below 20, and a stock code beginning with 60. It presents these conditions as a technical filter for relatively active stocks with a low KDJ reading, then gives formula…

AkcijasTehniskie indikatoriĶīnas tirgiCenas impulss
SuperMind

This document describes a stock screen that combines three conditions: daily price amplitude above a threshold, MACD above zero, and the close above the previous day’s low. It presents the setup as a way to find stocks with some price movement and positive…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The post describes a Chinese stock screen that ranks shares by a capital-strength measure, keeps those associated with a non-empty outstanding convertible-bond name, and restricts the data to 2021. It presents the conditions as a way to identify stocks with…

AkcijasFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This Chinese stock screen selects shares whose daily high-to-low range exceeds one percent, market capitalization is above 200 million, and the reported gain around the 9:25 pre-open observation is below six percent. The proposed rationale is to focus on…

Ķīnas tirgiAkcijasSvārstīgumsCenas izrāviens
SuperMind

This proposed screen targets main-board stocks with an intraday amplitude above one and a daily price gain above one percent. It also calls for three technical indicators to register bullish crossovers, then selects up to a chosen number of qualifying…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The proposed stock screen combines a positive MACD reading, a profitability-based company filter, and ranking by current auction trading activity, selecting five stocks. The accompanying Python example approximates the company-quality screen using recent…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share stock selection method combines three filters: at least five moving averages must converge, the stock must have a positive price-to-earnings ratio, and its 20-day moving average must be above its 120-day moving average. The convergence condition…

AkcijasTehniskie indikatoriSekošana tendenceiFaktoru ieguldīšana
SuperMind

This A-share stock screen combines a turnover range of 3% to 12%, a rising DEA signal, and positive institutional net buying. The intended logic is to pair a liquidity filter and a trend condition with a measure of institutional activity. The post describes…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese-language post presents a stock selection screen combining three conditions: daily price amplitude above a threshold, closing price above its five-day moving average, and a rising midpoint-based state intended to mark the start or continuation of…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The post describes a stock screen using three conditions: price amplitude above a threshold, a positive weekly bar or momentum reading, and turnover between 2% and 9%. It explains these as a way to seek stocks showing movement and short-term strength while…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This proposed China A-share screen combines three conditions: a 12-period RSI below 65, membership in the beverage and alcohol import-export industry, and previous-day actual turnover between 3% and 28%. The article presents turnover as a measure of market…

Ķīnas tirgiAkcijasTehniskie indikatoriStatistika
SuperMind

This Chinese stock-selection method combines amplitude above 1, a daily maximum decline between 4% and 5%, and large-order net volume above 0.05 for at least three consecutive days. It interprets the price range and decline as measures of volatility and…

AkcijasSvārstīgumsTirgus mikrostruktūraRiska pārvaldība
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, an outside-to-inside trade ratio above 1.3, and an opening price near the ten-day moving average. The article treats turnover and the trade ratio as activity and liquidity signals,…

AkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This document describes a Chinese equity screen requiring price amplitude above 1, a positive ten-day return below 35%, and previous-day trading value above 60 million. It presents amplitude as a measure of price movement, the bounded return as a way to…

AkcijasCenas impulssSvārstīgumsTehniskie indikatori
SuperMind

The article proposes selecting stocks with turnover between 3% and 12%, an external-to-internal trading volume ratio above 1.3, and a daily control reading above 21%. The stated rationale is to find stocks with meaningful trading activity and buying…

AkcijasTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
SuperMind

This brief stock-screening idea selects shares with an amplitude greater than 1, a rounded price pattern, and no limit-up close on the previous day. The post suggests that the amplitude filter seeks stocks with movement, the rounded shape favors a gentler…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This A-share stock selection proposal combines three initial filters: at least five overlapping moving averages, circulating market capitalization above 10 billion yuan, and a gain below 6% at 9:25. It interprets converging averages as a sign of closely…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

These notes summarize Alexander Elder’s approach to trading as a discipline built on market analysis, money management, and adherence to a plan. They describe how crowd behavior shapes prices, why traders should keep a journal to identify recurring mistakes,…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaTirgus noskaņojums
SuperMind

This proposed stock screen combines an RSI reading below 65 with membership in the beverage and alcohol import-export industry and substantial large or extra-large buying during the opening auction. The article presents the filters as a way to find stocks…

AkcijasTehniskie indikatoriStatistikaĶīnas tirgi
SuperMind

This note describes a daily pre-open screen for Chinese stocks. It combines a positive MACD reading, a share price below 12 yuan, and a previous close above the 250-day moving average. The example code calculates MACD and the long moving average from daily…

AkcijasTehniskie indikatoriCenas impulssSekošana tendencei