Siirry sisältöön

Tietokirjasto

Stratmillin tutkimusagentin kirjoittamia tiivistelmiä ja keskeisiä ajatuksia kirjoista, tutkimuksista, artikkeleista ja koodista, joita tekoälyagenttimme lukevat. Jokaisella sivulla on linkki alkuperäislähteeseen.

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

Hae kirjastosta

79,386 dokumenttia

MQL5 code base

DayDeMarker adapts the DeMarker indicator’s calculation period to the number of bars elapsed in the current day. It is presented for intraday decision support and is available on timeframes from one minute through one day. The description notes that…

Tekniset indikaattoritTilastotiede
MQL5 code base

This short page describes a simple way to view the intraday performance of individual currencies. Users can adjust line appearance and choose the hour and minute that define the start of a trading day, so the comparison can be aligned to a preferred session…

ValuuttakauppaTekniset indikaattorit
BigQuant

This document introduces mobile network activity as an alternative data source for quantitative investing. It explains that mobile devices continually exchange signals with cell towers and Wi-Fi access points, and that legally anonymized records may reveal…

OsakkeetKiinan markkinatTilastotiede
SuperMind

This Chinese-language post outlines a stock screen combining price movement, recent strength, and MACD. The initial criteria look for stocks with a large daily high-low range, at least one session with a gain of 10% or more in the recent 25 trading days, and…

OsakkeetHintamomentumTekniset indikaattoritVolatiliteetti
SuperMind

This stock selection method screens after each trading day for shares whose MACD histogram is above zero and whose close is above the prior day's low. It then ranks qualifying names by reported stock heat, from highest to lowest, and the example code retains…

OsakkeetKiinan markkinatTekniset indikaattoritHintamomentum
MQL5 code base

This brief indicator note describes ATRratio_HTF, a version of the ATRratio indicator that lets the user choose the chart period through an input parameter. The example period shown is four hours, illustrating that the indicator can be configured to use a…

Tekniset indikaattoritVolatiliteetti
BigQuant

This beginner tutorial uses the MNIST handwritten digit dataset to introduce TensorFlow through a simple image classification task. Each image has a digit label, and the model is intended to predict that label from the image. The tutorial chooses softmax…

KoneoppiminenTilastotiede
SuperMind

This Chinese equity screening idea selects stocks with an amplitude above 1, a product of yesterday’s turnover and today’s auction volume relative to yesterday’s volume between 0.5 and 2, and a prior-day signal that major market participants controlled the…

OsakkeetKiinan markkinatHintamomentumMarkkinoiden mikrorakenne
MQL5 code base

This brief document describes a customizable version of Bollinger Bands. Its distinguishing feature is that users can choose the moving average method used in the calculation and select which price series supplies the input. The listed average methods…

Tekniset indikaattoritVolatiliteetti
SuperMind

This document outlines a Chinese equity screen requiring turnover between 3% and 12% and year-over-year growth in net profit attributable to shareholders of the parent company between 20% and 100%. It then ranks qualifying stocks by capital strength, which…

OsakkeetKiinan markkinatFaktoripohjainen sijoittaminenRiskienhallinta
SuperMind

This document describes a Chinese equity screening strategy combining membership in the metaverse sector, a pre-open or opening gain below 6%, and a signal interpreted as institutional buying. Its rationale is to find stocks that institutions may be…

OsakkeetKiinan markkinatFaktoripohjainen sijoittaminenTekniset indikaattorit
SuperMind

The article presents a short-term stock screen combining positive price change, turnover between 3% and 12%, an outside-to-inside trading volume ratio above 1.3, and a positive product of price change and large-order net flow. Its rationale is that liquidity…

OsakkeetMarkkinoiden mikrorakenneTekniset indikaattoritHintamomentum
SuperMind

This stock-selection idea combines membership in the metaverse theme with a limit on the opening price increase and a history of strong return on equity. The stated screen seeks firms with ROE above 15% for five consecutive years and an opening gain below…

OsakkeetFaktoripohjainen sijoittaminenTekniset indikaattoritRiskienhallinta
MQL5 code base

The document describes a chart indicator that displays signals generated by a separate METRO_Sign indicator on a chosen timeframe. It distinguishes continued trends, shown with a colored circular symbol, from trend changes, shown with a directional arrow.…

Tekniset indikaattoritTrendin seuraaminen
BigQuant

This stock screen combines three conditions: daily price range above 1%, closing price below 20, and more than two limit-up sessions in the preceding ten days. The document provides example implementations in a Chinese stock analysis formula language and…

OsakkeetKiinan markkinatTekniset indikaattoritHintamomentum
SuperMind

The article explains how WorldQuant’s 101 formulaic alphas combine short horizon price and volume features, often mixing momentum and mean reversion. It distinguishes signals traded on the same day as their latest input from those traded later, and walks…

OsakkeetFaktoripohjainen sijoittaminenHintamomentumPalautuminen keskiarvoon
SuperMind

The document outlines a daily pre-market screen for Chinese stocks that combines three conditions: MACD above zero, positive trailing P/E, and a circulating share count no greater than 5.5 billion shares. It interprets positive MACD as a sign of an upward…

OsakkeetKiinan markkinatTekniset indikaattoritFaktoripohjainen sijoittaminen
BigQuant

This article challenges three barriers commonly associated with quantitative investing: needing advanced mathematical credentials, being able to code extensively, and having a large portfolio. It presents quantitative analysis as a way to use statistics and…

Faktoripohjainen sijoittaminenTilastotiedeKoneoppiminenOsakkeet
SuperMind

This stock-selection rule screens companies classified in the metaverse theme, requiring the prior day’s actual turnover to fall between 3% and 28% and the opening price to be above the ten-day moving average. The article gives the conditions in plain…

OsakkeetKiinan markkinatTekniset indikaattoritTrendin seuraaminen
NautilusTrader

This guide describes NautilusTrader’s system for turning completed backtests into interactive or static performance reports. Users can select charts and themes, include run metadata and performance statistics, and inspect equity, drawdown, monthly and yearly…

HistoriatestausRiskienhallintaSalkun muodostaminen
BigQuant

This guide explains simple and exponential moving averages as ways to smooth price series. An SMA averages prices over a selected window, while an EMA updates recursively and gives more weight to recent prices. It illustrates both calculations with a short…

Tekniset indikaattoritTrendin seuraaminenHintamomentumTilastotiede
MQL5 code base

Zero Point Force (ZPF) is a technical indicator built from moving averages of price and volume. Its formula multiplies the moving average of volume by the difference between a shorter-period and a longer-period moving average of price, then divides the…

Tekniset indikaattoritTilastotiede
SuperMind

This note proposes selecting stocks in the metaverse theme whose previous closing price is above the 250-day moving average, then applying a filter for company characteristics. It describes the theme as a way to target a popular sector and the long moving…

OsakkeetKiinan markkinatTekniset indikaattoritTrendin seuraaminen
SuperMind

This note describes a technical stock screen requiring MACD to be above its zero line, short-term moving averages to fan upward, and the weekly price to cross above a 30-week moving average. It supplies indicator formulas and a Python example that…

OsakkeetKiinan markkinatTekniset indikaattoritTrendin seuraaminen