Praleisti ir pereiti prie turinio

Žinių biblioteka

Stratmill tyrimų agento parengtos knygų, straipsnių, mokslinių darbų ir kodo, kuriuos skaito mūsų DI agentai, santraukos ir pagrindinės mintys. Kiekviename puslapyje pateikiama nuoroda į originalą.

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

Ieškoti bibliotekoje

7,910 dokumentų

Strategy library

This strategy looks for sharp upward price moves and uses volume and a long-term moving average to filter entries. A long signal requires the close to rise by more than a configurable threshold from the previous close, remain within a specified maximum move,…

KriptoturtasAteities sandoriaiImpulsasPramušimas
Strategy library

This trend-following system combines a smoothed EMA trend line with Supertrend confirmation. A long signal occurs when the trend line turns upward and Supertrend is bullish; a short signal uses a downward turn with bearish Supertrend. The strategy sets…

Prekyba pagal tendencijąTechniniai rodikliaiKintamumasRizikos valdymas
Strategy library

This strategy computes Heikin-Ashi open and close values from ordinary candle data, then uses their relationship to assign each bar a bullish or bearish color. A change from bearish to bullish generates a long entry, while a change from bullish to bearish…

Prekyba pagal tendencijąTechniniai rodikliaiIstorinis testavimas
Strategy library

This strategy combines Ichimoku lines to define trend conditions with Parabolic SAR as a trade filter and trailing exit. A long signal requires price to cross above the base line while above the displaced second leading span and with the first leading span…

Prekyba pagal tendencijąPramušimasTechniniai rodikliaiRizikos valdymas
Strategy library

This strategy uses RSI or, optionally, money flow index as its input, then forms bands from a moving average and standard deviation of that oscillator. A crossover above the upper band opens a long position, while a cross below the lower band opens a short…

Prekyba pagal tendencijąTechniniai rodikliaiIstorinis testavimasAteities sandoriai
Strategy library

This script describes a long breakout system built around confirmed swing points. It enters when price clears a recent swing high, initially places a stop at the recent swing low, then raises that stop as higher lows form. The aim is to stay in an…

Prekyba pagal tendencijąPramušimasTechniniai rodikliaiRizikos valdymas
Strategy library

This short-term mean-reversion approach combines Bollinger Bands, RSI, CCI and a five-period simple moving average. It looks for potential shorts near the upper band and longs near the lower band, using momentum and reversal indicators to confirm signals.…

Grįžimas prie vidurkioTechniniai rodikliaiRizikos valdymasPozicijos dydžio nustatymas
Strategy library

This strategy uses Bull Bear Power (BBP), calculated from high and low prices relative to an EMA, as a directional signal. It standardizes BBP with a rolling Z-score: a move above a positive threshold opens a long, while a move below the negative threshold…

Ateities sandoriaiKriptoturtasTechniniai rodikliaiKintamumas
Strategy library

This open-source strategy calculates daily Camarilla levels from the prior day’s price data, including the H4 resistance and L4 support levels. It enters long when the current close is above prior-day H4 and short when the close is below prior-day L4. The…

PramušimasTechniniai rodikliaiAkcijosJAV rinkos
Strategy library

This Pine Script excerpt defines inputs and preliminary calculations for a configurable trading strategy. It combines a 15-minute directional filter based on price relative to an EMA, EMA slope, and RSI with chart-timeframe measures such as ATR, EMA…

Techniniai rodikliaiImpulsasRizikos valdymasIstorinis testavimas
Strategy library

This trend-following strategy estimates historical volatility from the high-low range over a selected lookback, normalized by the average price range. It applies that volatility around the current close to create upper and lower bands, then smooths the bands…

Ateities sandoriaiPramušimasPrekyba pagal tendencijąKintamumas
Strategy library

This strategy combines Bollinger Bands with a bandwidth filter. The bands use a simple moving average and standard deviation; the stated defaults are a 16-period average and a multiplier of 3. Bandwidth is calculated from the distance between the outer bands…

Ateities sandoriaiGrįžimas prie vidurkioKintamumasTechniniai rodikliai
Strategy library

This strategy uses daily price action to set a directional bias, then looks for shorter-term breakouts. An uptrend is defined by a daily close above the previous day's high; a downtrend is defined by a close below the previous day's low. In the chosen…

Ateities sandoriaiPramušimasPrekyba pagal tendencijąRizikos valdymas
Strategy library

This strategy uses a simple moving average and standard deviation to form dynamic upper and lower Bollinger Bands. It enters long when price crosses above the upper band and short when it crosses below the lower band. A long position closes when price falls…

Ateities sandoriaiPramušimasPrekyba pagal tendencijąKintamumas
Strategy library

This trend-following approach uses a fast and a slow exponential moving average to generate directional crossover signals, then filters them using a 50-period simple moving average. The example uses EMA periods of 9 and 21: a bullish crossover produces a…

Techniniai rodikliaiPrekyba pagal tendencijąImpulsasAteities sandoriai
Strategy library

This strategy combines a simple moving average with RSI to form a normalized oscillator. It applies one RSI transformation when price is above the moving average and another when price is at or below it, then treats readings above the midpoint as bullish and…

Techniniai rodikliaiPrekyba pagal tendencijąAteities sandoriaiKriptoturtas
Strategy library

This long-only entry strategy looks for a rebound after a decline, requiring several signals to agree before opening a position. It checks for a bullish candle and a close at a recent lookback high, then confirms upward momentum with RSI above 50, price…

Techniniai rodikliaiImpulsasPramušimasRizikos valdymas
Strategy library

This example applies a linear support vector regression model to daily closes of the CSI 300 index. It constructs features from the current close and the preceding twenty daily closes, then fits the model to predict the following day’s close. The historical…

Kinijos rinkosAkcijosMašininis mokymasisStatistika
Strategy library

This document describes a short-term reversal strategy built around two moving averages. One average is used to gauge direction, while a second, scaled average provides crossover signals. When the first average is rising and the second crosses below it, the…

Grįžimas prie vidurkioTechniniai rodikliaiRizikos valdymasIstorinis testavimas
Strategy library

The document describes a long-oriented strategy built around a 200-period Hull moving average (HMA) and exponential moving average (EMA), with a 13-period RSI filter. It presents an HMA move above the EMA as a potential end to consolidation and permits…

KriptoturtasAteities sandoriaiImpulsasTechniniai rodikliai
Strategy library

This open-source Pine strategy combines a market-regime layer, directional bias, and momentum signals to guide allocation. Its inputs indicate that the regime model uses returns, volatility, and price efficiency, with a learning parameter and a trend gate.…

Techniniai rodikliaiKintamumasImpulsas
Strategy library

The visible script describes a moving-average crossover strategy with selectable SMA, EMA, or smoothed moving-average types and configurable short and long lengths. It also contains fixed settings for filters based on Bollinger Bands, RSI, MACD, stochastic…

Techniniai rodikliaiPrekyba pagal tendencijąImpulsasKintamumas
Strategy library

This indicator-based system uses the highest high and lowest low over a configurable lookback to define a trailing stop level. A close above the prior bar’s range high switches the system to an upward state; a close below the prior bar’s range low switches…

Ateities sandoriaiKriptoturtasPramušimasTechniniai rodikliai
Strategy library

This strategy uses the MACD line, signal line, and their histogram to generate directional signals. When the histogram crosses from negative to positive, the rules enter long; when it crosses back below zero, they enter short. The document frames these…

Techniniai rodikliaiImpulsasPrekyba pagal tendencijąAteities sandoriai