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Kennisbibliotheek

Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.

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

Doorzoek de bibliotheek

12,226 documenten

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…

AandelenTechnische indicatorenMomentumRisicobeheer
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…

AandelenMomentumTechnische indicatorenChinese markten
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…

AandelenTechnische indicatorenStatistiekChinese markten
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…

AandelenMomentumTechnische indicatorenChinese markten
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…

AandelenChinese marktenTechnische indicatorenMomentum
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…

AandelenChinese marktenFactorbeleggen
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…

Chinese marktenAandelenTechnische indicatorenMomentum
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…

AandelenChinese marktenTerugkeer naar het gemiddeldeTechnische indicatoren
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%.…

AandelenChinese marktenMomentumTechnische indicatoren
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…

Chinese marktenAandelenMomentumPortefeuilleconstructie
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…

Chinese marktenAandelenMomentumTechnische indicatoren
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…

AandelenTechnische indicatorenMomentumMarktmicrostructuur
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…

AandelenChinese marktenMomentumTechnische indicatoren
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…

Machine learningAandelenTechnische indicatorenBacktesten
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…

Chinese marktenAandelenMomentumTechnische indicatoren
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…

AandelenChinese marktenMomentumTechnische indicatoren
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…

AandelenChinese marktenMomentumRisicobeheer
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…

AandelenChinese marktenMomentumTechnische indicatoren
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…

AandelenChinese marktenTechnische indicatorenMomentum
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…

AandelenMomentumTechnische indicatorenChinese markten
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…

AandelenTechnische indicatorenTerugkeer naar het gemiddeldePositiegrootte
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…

AandelenChinese marktenTechnische indicatorenMarktsentiment
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…

Chinese marktenAandelenTechnische indicatorenMomentum
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,…

AandelenChinese marktenTechnische indicatorenMomentum