Liigu sisu juurde

Teadmiste raamatukogu

Kokkuvõtted ja põhiideed raamatutest, teadustöödest, artiklitest ja koodist, mida meie AI-agendid loevad. Need on koostanud Stratmilli uurimisagent. Igal lehel on link originaalile.

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

Otsi raamatukogust

79,386 dokumenti

SuperMind

The article describes a stock screen that excludes Beijing-listed shares, selects stocks with a daily high-low range above one percent, and applies a filter based on the prior day's turnover and the ratio of current opening-auction volume to the previous…

AktsiadHiina turudVolatiilsusTehnilised indikaatorid
SuperMind

This stock selection rule screens companies in the metaverse theme for a closing price above the five-day moving average, trading volume above the stated threshold, and an opening price above the previous close. The article presents these conditions as a way…

AktsiadHiina turudMomentumTehnilised indikaatorid
Kraken Learn

The document explains how decentralized exchanges can use liquidity pools instead of a conventional order book. Liquidity providers deposit crypto assets into smart contracts, creating reserves that traders can exchange against. Automated market maker…

KrüptoDeFiTurutegemine
SuperMind

This article proposes screening stocks with turnover between three and twelve percent, displayed best-bid volume greater than best-ask volume, and a prior-day condition described as a 9:15 matched price at the daily limit-down. The first two filters are…

Hiina turudAktsiadTuru mikrostruktuurRiskijuhtimine
BigQuant

This article describes a stock-selection screen based on three conditions: a daily high-low range above a stated threshold, an opening price near the ten-day moving average, and at least five years since listing. The intended interpretation is that elevated…

Hiina turudAktsiadTehnilised indikaatoridVolatiilsus
SuperMind

This brief article presents ten questions about common assumptions in quantitative research. They concern whether researchers must be highly skilled in statistics, whether borrowed methods can be adopted without adaptation, and whether more variables, more…

StatistikaTagantjärele testimine
SuperMind

This article outlines a Chinese equity screen for stocks in the metaverse sector. It combines bullish technical signals, including MACD and short moving-average crossovers, with a filter intended to exclude stocks that hit the daily price limit on the…

Hiina turudAktsiadTehnilised indikaatoridMomentum
SuperMind

The proposed stock screen filters for amplitude above 1 and a closing price below 20, then ranks candidates by today's auction amount and selects the top five. The article also gives example indicator and Python logic, including a comparison of current and…

AktsiadTehnilised indikaatoridHiina turudVolatiilsus
MQL5 code base

This document describes the implementation of a Non-Lag moving average indicator with ATR bands and an interactive chart panel. The panel can toggle the trend display, be moved, show selected internal values, and report indicator values for a bar chosen on…

Tehnilised indikaatoridVolatiilsusTrendijärgimine
ProRealCode

This indicator marks the opening and closing periods of the Tokyo, London, and New York sessions beneath a price chart. It uses specified clock times to switch each market's display state on and off, then draws a labeled colored marker while that session is…

Tehnilised indikaatoridValuutaturgTuru mikrostruktuur
SuperMind

This stock screen combines three technical conditions: daily amplitude above 1, MACD above its zero line, and closing price above the five-day moving average. The document explains these as filters for price movement and recent upward direction, then gives…

AktsiadTehnilised indikaatoridMomentumHiina turud
SuperMind

The document presents a Chinese equity screen that requires a 14-period RSI below 65, a circulating market value between 5 billion and 10 billion yuan, and exclusion of Beijing-listed A shares. The example code applies these filters and, when enough…

Hiina turudAktsiadTehnilised indikaatoridMomentum
SuperMind

The document describes a Chinese equity selection rule combining a daily range filter, afternoon large-order net inflow, and a score based on price change multiplied by a large-order volume measure. It ranks candidates by the resulting score and selects the…

Hiina turudAktsiadTehnilised indikaatoridMomentum
vn.py community

This forum exchange concerns changing a Turtle-style CTA strategy from a fixed number of contracts to dynamically calculated trade size based on risk. A user reports editing the strategy code through a backtest interface but seeing results continue to use…

FutuuridTagantjärele testiminePositsiooni suuruse määramine
MQL5 code base

The document explains a Donchian Percentage oscillator that expresses the closing price as a percentage of its position between the channel’s lower and upper bounds. The bounds are the lowest low and highest high over a configurable lookback period. A…

Tehnilised indikaatoridStatistika
SuperMind

The stated screen looks for stocks with turnover between 3% and 12%, a listing year of 2021, and ownership concentration below 20%. The article treats lower concentration as a sign of more dispersed ownership and suggests that the turnover band may help…

AktsiadHiina turudRiskijuhtimineStatistika
SuperMind

The screen selects stocks with turnover between 3% and 12%, beginning with the Chinese stock-code prefix 60, and keeps companies whose 2021 revenue exceeded their 2018 revenue by more than 10%. The article describes this as a way to combine trading activity…

AktsiadHiina turudFaktorinvesteerimineStatistika
SuperMind

This stock screen ranks companies by a measure of capital strength, such as net inflows or trading value, and requires at least two limit-up sessions within a 500-day window. The article frames the screen as targeting stocks with strong buying interest and…

AktsiadHiina turudMomentumStatistika
MQL5 code base

This trading-platform script creates pending limit orders from horizontal chart lines named for entry, stop-loss, and take-profit levels. It supports up to four numbered orders. If an order omits an entry or stop-loss line, the script can inherit that level…

Tehingute täitminePositsiooni suuruse määramineRiskijuhtimineValuutaturg
BigQuant

This page organizes a beginner-oriented quantitative trading curriculum and links to lessons and example strategy projects. The listed foundations include Python, pandas analysis, historical and financial data access, visualization, and DataFrame plotting.…

AktsiadPaariskauplemineTehnilised indikaatoridFaktorinvesteerimine
MQL5 code base

This brief description outlines a trading expert advisor that uses mean reversion, price-action boundaries, and a moving average to orient trades with the broader trend. It also says the tool exposes settings such as lookback periods, RSI thresholds, and pip…

Keskmise juurde naasmineTehnilised indikaatoridRiskijuhtimine
SuperMind

This Chinese stock-screening strategy combines a turnover range of 3% to 12%, at least one limit-up event in the prior 25 days, and positive net buying by major participants during the opening auction. The article presents a screening expression and a Python…

AktsiadHiina turudMomentumTehnilised indikaatorid
ProRealCode

The document presents an intraday CAC 40 strategy on 15-minute bars. At 09:30, it takes a long position if a MACD calculated over a window scaled to represent 14 hours is rising, or a short position if the MACD is falling. It closes positions at 21:45 and…

FutuuridTehnilised indikaatoridMomentumRiskijuhtimine
Amberdata research

This market snapshot discusses three digital-asset themes: institutional Bitcoin adoption, prospective uses for autonomous AI systems in decentralized finance, and tokenization of real-world assets. Its Bitcoin analysis describes a sharp rise above $100,000…

KrüptoPlokiahelasisesed andmedTurusentimentDeFi