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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
Binance API docs
45 documenten
Quantopian-colleges
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 short-term strategy combines reversal entries, EMA crossover breakouts, and opening range breakouts. Reversal signals use the 50-period simple moving average, RSI, VWAP, and a 200-period trend filter. Breakout signals use 9- and 20-period EMAs alongside…

UitbraakTerugkeer naar het gemiddeldeTechnische indicatorenRisicobeheer
Strategy library

This strategy combines a 20-period Donchian channel calculated from four-hour candles with ATR to set a changing price interval. It checks conditions on one-minute candles. When flat, it buys if price falls sufficiently below the channel’s middle line; while…

FuturesTrendvolgendTechnische indicatorenVolatiliteit
Strategy library

This strategy combines a rolling price z-score with a smoothed stochastic oscillator to generate long and short signals. It rescales the stochastic reading and averages it with the z-score, then compares that combined value with positive and negative…

Technische indicatorenTerugkeer naar het gemiddeldeBacktestenRisicobeheer
Strategy library

This strategy combines consecutive candle direction and rising volume with an EMA trend filter. It enters long after three up candles with increasing volume when current volume exceeds 1.5 times its recent average and price is above the 200-period EMA; the…

CryptoFuturesMomentumTrendvolgend
Strategy library

This document explains a basic price-versus-moving-average crossover strategy. A close crossing above a simple moving average triggers a long order, while a cross below triggers a short order. The example uses a 100-period average and includes configurable…

FuturesCryptoUitbraakTechnische indicatoren
Strategy library

The document describes a trend-following method combining Connors RSI with a short moving average. Connors RSI averages a 3-day RSI, a 2-day RSI of up/down streaks, and a 100-day ROC percentile. The stated signal uses the indicator’s 40 and 70 thresholds…

CryptoFuturesTrendvolgendTechnische indicatoren
Strategy library

This swing strategy combines a Hull-style moving-average direction filter, several exponential moving averages, RSI, and loss-based exits. In the code, the Hull calculation determines whether the strategy is in a long or short regime. Entry then depends on…

Technische indicatorenTrendvolgendTerugkeer naar het gemiddeldeRisicobeheer
Strategy library

This NIFTY strategy scans for large directional candles during a specified intraday entry window. It measures candle body as a share of the full high-low range and enters long on qualifying green candles or short on qualifying red candles, provided the…

AandelenTechnische indicatorenVolatiliteitRisicobeheer
Strategy library

The article presents a fast RSI method paired with an EMA of candle-body size. It describes a 7-period RSI and a 30-period body-size average, using RSI threshold conditions and a minimum candle-body size to trigger trades. It also describes closing positions…

CryptoFuturesTerugkeer naar het gemiddeldeMomentum
Strategy library

The visible portion of this strategy defines a reversal signal from the prior candle’s wick proportions, its total wick size relative to ATR, and a minimum candle-body size. A dominant upper wick is associated with a long signal, while a dominant lower wick…

Technische indicatorenVolatiliteitRisicobeheerPositiegrootte
Strategy library

The document describes a two-way breakout strategy using a channel based on moving averages of highs and lows. It calls for a long entry when price crosses above the upper channel and a short entry below the lower channel. For either direction, the described…

CryptoFuturesUitbraakTechnische indicatoren
Strategy library

The document describes a short-term strategy combining candle direction, a volume increase, and an oscillator-style market condition, with percentage-based take-profit and stop-loss exits. The prose says it uses CCI thresholds alongside candle patterns and…

Technische indicatorenMomentumRisicobeheerFutures
Strategy library

This strategy builds a Keltner Channel from a moving average and an ATR-based width, then enters positions around channel boundaries. The description frames a move back across the lower boundary as a long setup and a move back below the upper boundary as a…

Technische indicatorenTerugkeer naar het gemiddeldeFuturesCrypto
Strategy library

The strategy combines a 14-period RSI with Stochastic RSI, smoothing the latter into %K and %D lines using 3-period simple moving averages. Its stated entry logic buys when %K crosses above %D in oversold territory and sells or shorts when it crosses below…

Technische indicatorenTerugkeer naar het gemiddeldeFuturesCrypto
Strategy library

This strategy tracks two one-bar reversal patterns. A bar that makes a higher high but closes below the prior close records a high reference; a bar that makes a lower low but closes above the prior close records a low reference. The strategy then uses breaks…

FuturesCryptoUitbraakTechnische indicatoren
Strategy library

This strategy combines a short and longer exponential moving average with RSI to identify possible trend reversals. A long entry requires the shorter EMA to cross above the longer EMA at the same time RSI crosses above its upper threshold; a short entry…

Technische indicatorenMomentumTrendvolgendFutures
Strategy library

This indicator draws a cloud between two retracement levels derived from the highest high and lowest low over a lookback period. It also calculates the range midpoint and displays the period’s extremes. The 0.382 and 0.618 levels define the cloud; closes…

Technische indicatorenUitbraakStatistiekFutures
Strategy library

This strategy modifies MACD by applying a zero-lag calculation to the fast and slow moving averages, then forms a MACD line, signal line, and histogram. It signals a long entry when the MACD crosses upward through its signal line below zero, and a short…

Technische indicatorenMomentumTrendvolgendFutures
Strategy library

This strategy combines MACD crossovers with Supertrend direction to trade in the direction of a detected trend. It uses the conventional 12, 26, and 9 period MACD settings and a Supertrend based on ATR. A long signal occurs when MACD crosses above its signal…

Technische indicatorenTrendvolgendMomentumFutures
Strategy library

This multi-timeframe strategy uses weekly and daily MACD crossovers to manage long-only exposure. A bullish weekly MACD cross opens an initial position and keeps a trading window active while the weekly MACD line remains above its signal line. A bearish…

FuturesTechnische indicatorenTrendvolgendRisicobeheer
Strategy library

This intraday strategy uses a 20-period EMA and a session-reset VWAP calculated from typical price to generate directional signals. A long signal occurs when the EMA is above VWAP and price crosses above the EMA, or when the EMA crosses above VWAP; short…

Technische indicatorenTrendvolgendVolatiliteitRisicobeheer
Strategy library

This strategy combines a 9-period and 21-period EMA crossover with an RSI threshold and a MACD signal-line crossover. After the fast EMA crosses above the slow EMA, it sets a buy limit below the fast EMA by a configurable offset; entry also requires RSI…

FuturesTechnische indicatorenOrderuitvoeringRisicobeheer
Strategy library

This short-term trend and momentum strategy combines fast and slow exponential moving average crossovers with an RSI filter and an ATR-based price confirmation. Long entries require the fast average to cross above the slow one, RSI to remain below its…

CryptoTrendvolgendMomentumTechnische indicatoren
Strategy library

This strategy detects price pivot highs and lows on three intraday and higher timeframes: 15 minutes, one hour, and four hours. Each pivot uses seven bars to the left and right in the published defaults. A newly detected pivot low on any timeframe signals a…

CryptoFuturesTechnische indicatorenRisicobeheer