Liigu sisu juurde

Teadmiste raamatukogu

Kokkuvõtted ja põhiideed raamatutest, teadustöödest, artiklitest ja koodist, mida meie AI-agendid loevad. Need on koostanud Stratmilli uurimisagent. Igal lehel on link originaalile.

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

Otsi raamatukogust

7,910 dokumenti

Strategy library

This trend-following method builds a modified price-volume trend measure by accumulating volume-scaled percentage changes in price. It divides volume by 50,000, multiplies that value by the relative change in the typical price, and adds the result to the…

FutuuridKrüptoTrendijärgimineTehnilised indikaatorid
Strategy library

This strategy combines a 200-period simple moving average for broad trend direction with volume, RSI, and MACD conditions for entries. A long setup requires price above the moving average, RSI above 50, a bullish MACD crossover, and volume greater than 1.2…

FutuuridKrüptoTrendijärgimineMomentum
Strategy library

The strategy defines Open Market Exposure (OME) as the current close relative to the prior bar's open, accumulates that measure within each day, and uses threshold levels to manage a long position. It enters when cumulative OME is above a positive threshold…

FutuuridTehnilised indikaatoridRiskijuhtimineTagantjärele testimine
Strategy library

This trend-following strategy compares a conventional EMA with an adaptive zero-lag EMA. The adaptive period can be estimated with cosine or I-Q instantaneous-frequency methods, or an average of both. A crossover of the adaptive line above the conventional…

FutuuridTrendijärgimineTehnilised indikaatoridRiskijuhtimine
Strategy library

This example demonstrates how an algorithm can submit a covered call through an option strategy helper and check the resulting position group. It selects a call contract near the underlying price, preferring later expirations among the sorted candidates,…

OptsioonidAktsiadTehingute täitmine
Strategy library

This five-minute long-only strategy combines MACD, a short-period RSI, and Bollinger Bands. It enters when MACD is above zero and its signal line, the upper Bollinger Band is rising, and RSI exceeds 70. It exits when RSI rises above 80. The author describes…

MomentumTehnilised indikaatoridRiskijuhtimine
Strategy library

This stock-oriented strategy combines RSI with a short moving average to seek long entries near potential price reversals. It uses a 14-period RSI and a 9-period simple moving average in the published parameters. A long entry is triggered when RSI is below…

Keskmise juurde naasmineTehnilised indikaatoridRiskijuhtimineFutuurid
Strategy library

This strategy uses a K-nearest-neighbors model to turn seven technical features into a directional prediction: price momentum, RSI, volume ratio, volatility, trend strength, MACD, and Bollinger Band position. The features are Z-score standardized so their…

FutuuridMasinõpeTehnilised indikaatoridStatistika
Strategy library

This strategy applies Bollinger-style bands to an oscillator rather than directly to price. It calculates RSI or Money Flow Index from price and volume, forms bands around the selected indicator, and looks for readings beyond the lower or upper band…

FutuuridKrüptoKeskmise juurde naasmineTehnilised indikaatorid
Strategy library

The strategy calculates a simple moving average and places several offset levels above and below it. Limit orders at the lower levels can build a long position, while orders at upper levels can build a short position. The number of levels, their percentage…

FutuuridKrüptoTrendijärgimineTehnilised indikaatorid
Strategy library

This strategy combines Bollinger Bands with a moving average alignment filter to seek entries during an established upward trend. It calculates seven averages spanning short to long lookbacks and scores their ordering to estimate trend direction. A long…

FutuuridKrüptoTrendijärgimineTehnilised indikaatorid
Strategy library

This strategy uses pivot highs and lows to construct rising support and falling resistance lines, then trades price crossings of those lines. A close crossing above resistance triggers a long signal, while a crossing below support triggers a short signal.…

FutuuridKrüptoLäbimurreTrendijärgimine
Strategy library

This script pairs MACD crossovers with RSI thresholds to time long and short entries in a strategy presented for choppy crypto markets. A bullish MACD crossover is accepted when RSI is below its configured threshold; a bearish crossover is accepted when RSI…

KrüptoTehnilised indikaatoridMomentumRiskijuhtimine
Strategy library

This proposed system combines five signal families: MACD crossovers, Stochastic RSI thresholds, RSI-based overbought and oversold conditions, Supertrend direction changes, and moving-average crossovers. It assigns configurable weights to their signals and…

Tehnilised indikaatoridTrendijärgimineKeskmise juurde naasmineRiskijuhtimine
Strategy library

This example calculates an AR price-momentum measure from the prior 14 daily bars. It sums the differences between each bar's high and open, divides by the sum of the differences between open and low, and multiplies by 100. If the denominator is zero, it…

FutuuridToorainedMomentumTehnilised indikaatorid
Strategy library

This indicator fits a linear regression to a selected price series over a configurable lookback, which defaults to 100 bars. It estimates dispersion around the fitted line from the squared residuals, then places upper and lower bands at a chosen multiple of…

Tehnilised indikaatoridStatistikaKrüptoTagantjärele testimine
Strategy library

This strategy sets long and short price thresholds around the previous day’s close using the Average True Range (ATR). A move beyond the close by 0.8 ATR triggers an entry, with the description specifying ten lots. It defines stop and profit levels using ATR…

FutuuridKrüptoTrendijärgimineVolatiilsus
Strategy library

This trend-following system uses 21-, 50-, and 100-period simple moving averages. On the stated primary five-minute timeframe, a long signal occurs when the fast average crosses above the middle average while both are above the 100-period filter. A short or…

TrendijärgimineTehnilised indikaatoridRiskijuhtimineTagantjärele testimine
Strategy library

The available source describes a multi-timeframe MACD signal score built from changes in the MACD line and histogram, with extra weight for signal-line crossovers. The current-timeframe score is blended with a higher-timeframe score, whose interval is…

TrendijärgimineMomentumTehnilised indikaatoridVolatiilsus
Strategy library

This strategy combines a 200-period exponential moving average trend filter, RSI thresholds, and bullish or bearish candlestick patterns. Long entries require price above the average, RSI below its upper threshold, and either an engulfing candle or pin bar;…

FutuuridTrendijärgimineMomentumTehnilised indikaatorid
Strategy library

The strategy treats five ordered exponential moving averages as a trend channel. It looks for a pullback into that channel while RSI remains above a bullish threshold or below a bearish threshold, then enters when price crosses back through the fastest EMA.…

FutuuridTrendijärgimineMomentumTehnilised indikaatorid
Strategy library

This strategy combines Ichimoku signals with moving average and weekly RSI filters. It proposes long entries when the Tenkan line is above the Kijun line and price is above the cloud; short entries use the reverse conditions. Optional trend filters compare…

FutuuridTrendijärgimineTehnilised indikaatoridRiskijuhtimine
Strategy library

This basic trend-following method compares a fast simple moving average with a slower one. It enters long when the fast average crosses above the slow average and enters short when it crosses below. The average periods are adjustable; the source lists…

TrendijärgimineTehnilised indikaatoridFutuuridKrüpto
Strategy library

This trend-following approach combines fast and slow exponential moving averages (EMAs) with RSI and MACD confirmation. It signals a long entry when the fast EMA crosses above the slow EMA, RSI is above 50, and the MACD line is above its signal line. The…

KrüptoFutuuridTrendijärgimineMomentum