Praleisti ir pereiti prie turinio

Žinių biblioteka

Stratmill tyrimų agento parengtos knygų, straipsnių, mokslinių darbų ir kodo, kuriuos skaito mūsų DI agentai, santraukos ir pagrindinės mintys. Kiekviename puslapyje pateikiama nuoroda į originalą.

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

Ieškoti bibliotekoje

12,226 dokumentų

SuperMind

This short stock-screening post combines a moving-average condition with rankings for trading activity and market attention. It proposes selecting equities where the 20-day moving average is above the 120-day average, then ordering candidates by a…

AkcijosKinijos rinkosImpulsasTechniniai rodikliai
SuperMind

The document describes a stock screen combining a minimum daily amplitude, MACD above zero, and a bounded ratio involving the previous day’s turnover rate, the current auction’s buy volume, and the prior day’s volume. It presents the screen as a way to find…

AkcijosTechniniai rodikliaiImpulsasStatistika
SuperMind

The screen selects listed Chinese A-shares with turnover between 3% and 12%, market capitalization below 10 billion yuan, positive income, and a positive daily MACD reading. The accompanying explanation interprets turnover as a filter for market activity,…

AkcijosKinijos rinkosTechniniai rodikliaiImpulsas
SuperMind

This A-share screening approach selects stocks with daily amplitude above 1, RSI below 65, and a daily percentage change below 2.6% but above -5%. The document frames the amplitude condition as finding stocks with notable price movement, while the RSI filter…

AkcijosKinijos rinkosTechniniai rodikliaiImpulsas
SuperMind

This A-share screening idea combines three conditions: RSI below 65, MACD above its zero line, and at least two limit-up moves within a 500-day lookback. The document interprets the RSI filter as avoiding overly heated conditions, the MACD condition as…

AkcijosKinijos rinkosTechniniai rodikliaiImpulsas
SuperMind

This selection method screens for stocks with amplitude above 1 and more than one year since listing, then ranks qualifying names by individual-stock heat and takes the top n. The accompanying rationale is that larger price movement may indicate market…

AkcijosTechniniai rodikliaiImpulsasRinkos nuotaikos
SuperMind

The proposed stock screen combines three conditions: amplitude above 1, at least one daily gain of 10% or more within the previous 25 trading days, and company scale above 200 million. The text frames these as filters for active price movement, recent…

AkcijosKintamumasImpulsasRizikos valdymas
SuperMind

This stock-selection idea combines a turnover filter, a recent price-limit event, and MACD. It selects shares with turnover between 3% and 12%, at least one limit-up during the previous 25 days, and a MACD value below zero two days earlier. The accompanying…

AkcijosTechniniai rodikliaiImpulsas
SuperMind

This post proposes ranking Chinese equities by capital-flow strength while filtering for company scale and repeated limit-up sessions within a recent period. The rationale is that stronger flow may indicate investor attention, larger companies may be more…

AkcijosImpulsasPramušimasPavedimų vykdymas
SuperMind

This overview explains why financial institutions may consider digital assets and surveys market structure, asset categories, trading venues, and regulatory developments. It contrasts crypto markets with traditional finance, emphasizing continuous global…

KriptoturtasRinkos mikrostruktūraArbitražasIšvestinių finansinių priemonių kainodara
SuperMind

This Chinese-language post describes an equity screen combining a positive MACD reading, upward-moving short-term averages, and a measure intended to capture strong investor control or positioning on the prior day. It presents the conditions as signs of an…

AkcijosTechniniai rodikliaiImpulsasKinijos rinkos
SuperMind

This stock-screening rule combines three conditions: RSI below 65, positive price-to-earnings value, and the 20-day moving average above the 120-day average. The moving-average relationship acts as a broad trend filter, while RSI places an upper bound on the…

AkcijosKinijos rinkosTechniniai rodikliaiImpulsas
SuperMind

This Chinese stock-screening article combines a positive MACD reading with seven consecutive falling closes and a shortening MACD histogram on a 15-minute chart. The proposed interpretation is that shrinking negative histogram bars may signal weakening…

AkcijosKinijos rinkosTechniniai rodikliaiGrįžimas prie vidurkio
SuperMind

This document describes a stock screen requiring RSI below 65, a daily gain greater than 1%, main-board listing, and a weekly price move above the 30-week moving average. The rationale combines a recent price advance and a moderate RSI reading with a…

AkcijosKinijos rinkosTechniniai rodikliaiImpulsas
SuperMind

This document proposes screening Chinese stocks in the beverage and alcohol import-export sector using turnover between 3% and 12% and a negative MACD reading from two days earlier. The author frames the turnover band as a way to focus on stocks with…

AkcijosKinijos rinkosTechniniai rodikliaiImpulsas
SuperMind

This document describes a China A-share screening rule that combines a turnover range of 3% to 12%, appearance on the previous day’s 龙虎榜 (a public list highlighting unusual trading activity), and an increase in the KDJ indicator’s K value. It also gives…

AkcijosKinijos rinkosTechniniai rodikliaiImpulsas
SuperMind

This note outlines a Chinese stock screen that combines a beverage and alcohol industry classification with a turnover-rate range and a specified share price. It presents the criteria as a way to focus on trading activity and a particular industry, then…

AkcijosKinijos rinkos
SuperMind

This note describes a Chinese equity screen combining price movement, trading activity, an opening gap, and Bollinger Band position. It selects stocks with an amplitude above 1, current volume above 10,000 lots, a higher open, and a close between the middle…

AkcijosTechniniai rodikliaiKintamumasKinijos rinkos
SuperMind

This proposed Chinese equity screen combines daily amplitude above one, large-order net volume above a stated threshold for three consecutive days, and association with the metaverse concept. The post provides indicator-style conditions and a rough Python…

Kinijos rinkosAkcijosTechniniai rodikliaiRinkos mikrostruktūra
SuperMind

The proposed screen selects stocks with an amplitude above 1, MACD above the zero line, and a 9:25 a.m. price gain below 6% relative to the previous close. The document interprets larger amplitude as greater volatility, a positive MACD condition as…

AkcijosKinijos rinkosTechniniai rodikliaiKintamumas
SuperMind

This stock-selection rule filters for turnover rates between 3% and 12%, a rising K line from the KDJ oscillator, and a rising DEA line. The post’s sample formula also excludes stocks in industry type 1, which it identifies as the STAR Market. Its Python…

AkcijosKinijos rinkosTechniniai rodikliaiImpulsas
SuperMind

This Chinese-language post describes an A-share stock screen that ranks shares by capital strength, then selects the five highest by the day’s auction amount. It also filters for companies whose 2021 revenue divided by 2018 revenue exceeds 1.1, which the…

AkcijosKinijos rinkosInvestavimas pagal veiksnius
SuperMind

This post describes a stock screen using three conditions: daily amplitude above 1, a positive weekly MACD histogram, and a rising-bottom pattern. It offers example formulas and Python code that scan listed stocks, evaluate daily amplitude and weekly MACD,…

AkcijosTechniniai rodikliaiImpulsas
SuperMind

This Chinese stock-screening post combines three filters: RSI below 65, an industry concentration ratio above 70% or below 20%, and a shortening MACD histogram on a 15-minute chart. It presents the approach as a way to find stocks with improving momentum…

AkcijosTechniniai rodikliaiImpulsas