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
Quantpedia
86 dokumenttia
TqSdk
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
Quantopian-luennot
45 dokumenttia
Binance API docs
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

12,226 dokumenttia

SuperMind

This post proposes screening stocks using three conditions: amplitude above 1%, a shrinking negative MACD histogram on a 15-minute chart, and a 2019 dividend payout ratio above 25%. The idea combines price movement and a possible shift in short-term momentum…

OsakkeetTekniset indikaattoritHintamomentumRiskienhallinta
SuperMind

This post describes a stock screen that requires amplitude above 1%, a current high equal to the highest high over two days, and more than two limit-up sessions within the prior 10 days. The combination targets stocks with recent price movement, a short-term…

OsakkeetHintamomentumTekniset indikaattoritKiinan markkinat
SuperMind

This post presents a Chinese-equity screening rule combining daily price amplitude above 1%, a K-line indicator below 20, and relative volume greater than 1.5 but less than 6. It offers formula and Python-style examples for calculating amplitude from the…

OsakkeetTekniset indikaattoritTilastotiedeKiinan markkinat
SuperMind

This Chinese stock-screening post combines a large intraday range with recent price strength and a lower daily low. Its initial conditions look for amplitude above 1 and at least one daily gain of 10% or more in the past 25 trading days, while requiring…

OsakkeetHintamomentumTekniset indikaattoritKiinan markkinat
SuperMind

This proposed Chinese A-share screen selects companies associated with the robotics theme, turnover between 3% and 12%, circulating market capitalization below 10 billion yuan, and three consecutive declining sessions. The post presents the rules as a way to…

OsakkeetKiinan markkinatTekniset indikaattoritHintamomentum
SuperMind

The document proposes screening A-share equities for turnover between 3% and 12%, circulating market capitalization below 10 billion yuan, no reported losses, and a share price below 12 yuan. It frames the rules as a way to identify lower-priced, smaller…

OsakkeetKiinan markkinatFaktoripohjainen sijoittaminen
SuperMind

The post proposes a Chinese equity screen for companies classified in the metaverse industry. It combines a volume-ratio band above 1.5 and below 6 with a KDJ bullish crossover. The author then expands the proposed screen to favor stocks with forecast profit…

Kiinan markkinatOsakkeetTekniset indikaattoritHintamomentum
SuperMind

This equity screen combines three filters: daily high-to-low range above 1%, a reversal or engulfing-style pattern, and a concentration measure below 20%. Formula and Python examples illustrate how the conditions might be combined to produce a candidate…

OsakkeetKiinan markkinatPalautuminen keskiarvoonTekniset indikaattorit
SuperMind

This stock-selection screen combines membership in the metaverse theme with a long-term price filter and a one-day price-change threshold. It selects shares whose previous-day price is above the 250-day moving average and whose current-day gain exceeds 5%.…

OsakkeetKiinan markkinatHintamomentumTekniset indikaattorit
SuperMind

This portfolio overlay begins with CSI 300 constituents whose index weights exceed 0.35%. At the start of each month, it measures each eligible stock’s return over the previous 21 trading days, approximately one month. Stocks with positive returns are…

Kiinan markkinatOsakkeetHintamomentumSalkun muodostaminen
SuperMind

This document describes a Chinese stock selection screen that combines turnover, price movement, large-order trading activity, and recent strength. The stated core conditions require turnover between 3% and 12%, a positive product of price change and…

Kiinan markkinatOsakkeetHintamomentumTekniset indikaattorit
SuperMind

This Chinese-language post describes a stock selection screen combining three conditions: turnover within a specified range, first-level bid volume greater than ask volume, and the prior close above the 250-day moving average. Its sample formula also…

OsakkeetTekniset indikaattoritHintamomentumMarkkinoiden mikrorakenne
SuperMind

The document describes a Chinese equity screen restricted to the metaverse industry. It selects stocks whose average price is above a five-day moving average, whose daily gain exceeds a stated threshold, and whose proprietary “control” measure is above a…

OsakkeetKiinan markkinatHintamomentumTekniset indikaattorit
SuperMind

This tutorial introduces a basic neuron model, describing weighted inputs, a threshold, and an activation function. It explains why a smooth sigmoid function is used in practice in place of an idealized step function, then applies a neural network to…

KoneoppiminenOsakkeetTekniset indikaattoritHistoriatestaus
SuperMind

This Chinese stock-screening proposal selects companies classified in the metaverse industry when price is near its 10-day moving average and at least one session in the prior 25 trading days gained 10% or more. The article presents the average-price…

Kiinan markkinatOsakkeetHintamomentumTekniset indikaattorit
SuperMind

The document outlines an equity screen for stocks associated with the metaverse theme. It combines three filters: membership in that concept group, a current close above the previous day’s low, and a positive daily return at least once within a rolling…

OsakkeetKiinan markkinatHintamomentumTekniset indikaattorit
SuperMind

This Chinese A-share screening idea combines three filters: market capitalization below 10 billion yuan, no historical losses, and current trading volume above 10,000 lots. It also describes selecting stocks that open above the previous close, framing the…

OsakkeetKiinan markkinatHintamomentumRiskienhallinta
SuperMind

This Chinese-language post describes a short-term screen for stocks in the metaverse theme. Its initial conditions are elevated turnover on the prior day and an upward arrangement of moving averages for the current day. The expanded version also requires…

OsakkeetKiinan markkinatHintamomentumTekniset indikaattorit
SuperMind

The document outlines a short-term Chinese equity screen combining price movement, a morning-star candlestick pattern, and prior-day trading activity. It also presents indicator and Python examples intended to select active stocks while excluding…

OsakkeetKiinan markkinatTekniset indikaattoritHintamomentum
SuperMind

The post describes a stock-selection screen for companies classified in the metaverse industry. It requires relative volume to fall between 1.5 and 6 and the prior day’s turnover rate to exceed 8%. The author presents these conditions as a way to identify…

OsakkeetHintamomentumTekniset indikaattoritKiinan markkinat
SuperMind

This document describes a rule-based candlestick system that uses named reversal patterns to generate entries and exits. Its bullish conditions include morning-star variants, matching lows, and bullish engulfing-style moves; bearish conditions include…

OsakkeetTekniset indikaattoritPalautuminen keskiarvoonPosition koon määrittäminen
SuperMind

The document outlines a Chinese equity screening idea combining three conditions: a market capitalization below 10 billion yuan, no reported losses, and a daily increase in holdings above 5%, alongside large net buying in the afternoon. It interprets the…

OsakkeetKiinan markkinatTekniset indikaattoritMarkkinatunnelma
SuperMind

This Chinese stock-screening strategy combines three conditions: daily amplitude above 1%, at least two limit-up events during the prior 500 days, and positive net buying attributed to major investors during the opening auction. It also proposes ranking…

Kiinan markkinatOsakkeetTekniset indikaattoritHintamomentum
SuperMind

This proposed short-term stock screen combines a price-range threshold, an opening-auction gain below six percent, and a 15-minute MACD condition described as a shortening negative histogram. The article presents these filters as a way to combine volatility,…

OsakkeetKiinan markkinatTekniset indikaattoritHintamomentum