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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

7,910 documenten

Strategy library

This five-minute long-only strategy enters when the 20-period EMA crosses above the 50-period EMA, the Heikin-Ashi close is above the 20-period EMA, and the Heikin-Ashi candle is bullish. It exits on a separate signal when the 50-period EMA crosses above the…

Technische indicatorenTrendvolgendRisicobeheer
Strategy library

This trend-following method classifies each bar by where its close falls within its high-low range. It distinguishes closes near the high, near the low, and in the middle using thirds of that range. Over a configurable lookback, it computes the share of bars…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This short-term strategy combines 10-period and 20-period simple moving average crossovers with price-breakout and retest conditions. Long entries require a bullish crossover, a close above the recent high of the 20-period average, and recent lows holding…

FuturesTechnische indicatorenUitbraakRisicobeheer
Strategy library

This adaptive system uses ADX to choose between two approaches: RSI mean reversion when ADX is at or below 25, and price breakouts when it is above 25. A 200-period EMA filters direction. In ranging conditions, the rules buy oversold RSI readings in an…

CryptoFuturesTerugkeer naar het gemiddeldeUitbraak
Strategy library

This trend-following approach compares 9-, 21-, 50-, and 200-period exponential moving averages. It signals a long position when the averages are ordered from shortest to longest above one another, and a short position when the ordering is reversed. The…

FuturesTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This document describes a terminal plugin for placing opposing futures orders across two selected contracts. Its parameters let the operator choose the contracts, set an order amount and price offset, and reverse which contract is bought and sold. The…

FuturesOrderuitvoeringMarktmicrostructuurRisicobeheer
Strategy library

This document describes an automated trend-following system that uses 21-period and 50-period exponential moving averages. A bullish crossover opens a long position, while a bearish crossover opens a short position. The example sets a 40-tick stop loss and…

FuturesTrendvolgendTechnische indicatorenRisicobeheer
Strategy library

This strategy uses Williams Fractals to identify swing highs and lows, then checks successive points for an ABCD pattern. It applies proportional conditions to the legs and classifies the setup as bullish or bearish based on the relative positions of the…

FuturesCryptoTrendvolgendUitbraak
Strategy library

This document introduces a dual moving average strategy that uses crossovers between faster and slower averages to indicate direction. A fast average crossing above a slow average produces a long signal; a downward crossover produces a short signal. The…

FuturesCryptoTrendvolgendUitbraak
Strategy library

This strategy combines a 123 reversal signal with a price-to-moving-average divergence signal, taking a trade only when both components point in the same direction. The reversal component looks for a two-day change in closing-price direction together with a…

FuturesCryptoTerugkeer naar het gemiddeldeTrendvolgend
Strategy library

This spot-style grid method begins by dividing the initial investment between cash and an asset, with the code setting each allocation to half. It tracks the marked value of the asset position against a reference value. When that value falls below the…

GridhandelSpotmarktenCryptoOrderuitvoering
Strategy library

This document describes a trend following strategy that compares a standard Hull Moving Average (HMA) with a differently smoothed HMA variant. It generates a long signal when the smoothed line crosses above the standard line and a short signal when the…

FuturesCryptoTrendvolgendMomentum
Strategy library

This strategy combines a SuperTrend direction filter, a 200-period EMA option, and a smoothed Stochastic oscillator. Long signals require an uptrend and a low Stochastic reading, alongside price above the EMA when that filter is enabled. Short signals use a…

Technische indicatorenTrendvolgendMomentumRisicobeheer
Strategy library

This trend-following strategy uses a SuperTrend line derived from Average True Range (ATR) to generate directional entries. The explanation presents upper and lower volatility bands around the midpoint of the high and low, scaled by an adjustable factor, and…

FuturesCryptoTrendvolgendUitbraak
Strategy library

This short-term signal strategy compares two exponential moving averages and enters long or short when they cross. The document lists configurable lengths of 55 and 34 periods and describes the crossings as trend signals. The chart plots both averages and…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

The supplied portion describes configurable controls for a breakout and trend-following strategy, but does not include the entry, exit, or order execution logic. Its risk settings include a per-trade risk percentage, a stop distance based on average true…

UitbraakTrendvolgendRisicobeheerPositiegrootte
Strategy library

This futures strategy estimates direction from the rate of change of a weighted moving average (WMA). A positive or negative rate beyond a threshold sets a long or short position; when the rate is within the sideways band, the prior non-sideways direction is…

FuturesTrendvolgendTechnische indicatorenPortefeuilleconstructie
Strategy library

This BTC futures strategy combines 5-, 10-, and 30-period exponential moving averages (EMAs) with four long-entry setups. The setups cover a reclaim of the 30-period EMA, recent EMA crossovers, a particular EMA ordering and price pattern, and a rising…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This method builds upper and lower price bands around an exponential moving average using ATR multiples. The description presents breaks above the upper band and below the lower band as directional entries, with exits managed through ATR-based levels that…

FuturesCryptoVolatiliteitTrendvolgend
Strategy library

This trend-following method compares fast and slow exponential moving averages across daily, six-hour, and 15-minute price series. It takes a long stance when all three fast-minus-slow EMA differences are positive, and a short stance when all are negative.…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This intraday approach uses long-bodied bullish or bearish Marubozu candles as directional entry signals. The description also proposes comparing body size with its average and checking whether upper and lower shadows are roughly balanced, with imbalanced…

FuturesCryptoTechnische indicatorenMomentum
Strategy library

This strategy uses closing-price crossovers of a rolling volume-weighted average price (VWAP) to signal long and short trades. It pairs those entries with stop-loss and take-profit levels set at multiples of the average true range (ATR), so the distances…

FuturesCryptoTrendvolgendTechnische indicatoren
Strategy library

This strategy uses the Commodity Channel Index (CCI) to enter after it returns across an extreme threshold: a long signal occurs when CCI crosses above the oversold level, and a short signal when it crosses below the overbought level. An optional EMA filter…

Technische indicatorenTerugkeer naar het gemiddeldeMomentumRisicobeheer
Strategy library

This BTC futures strategy combines a Stochastic oscillator, Supertrend direction, and a 200-period exponential moving average. Its written rules describe long entries when Stochastic falls below 80 while Supertrend is bullish and price is above the average;…

FuturesCryptoTrendvolgendTechnische indicatoren