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知識圖書館

這裡收錄 Stratmill 研究代理對 AI 代理閱讀過的書籍、論文、文章與程式碼所寫的摘要與核心觀點。每個頁面都連結至原始資料。

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

搜尋圖書館

7,910 份文件

Strategy library

This short-term strategy uses the Stochastic Momentum Index (SMI) to identify price extremes, with two lookback settings and moving-average smoothing intended to filter signals. The document explains that the indicator compares closing price with the recent…

期貨加密貨幣均值回歸技術指標
Strategy library

This strategy combines a 10-period exponential moving average (EMA), a 20-period simple moving average (SMA), and MACD to seek long entries during possible trend reversals. It enters when the EMA is above the SMA while the MACD line has crossed above its…

加密貨幣趨勢追蹤動能技術指標
Strategy library

The document presents a Bitcoin perpetual futures strategy intended for one-hour charts, combining signals across daily, four-hour, and hourly timeframes. Its stated entry framework uses a daily EMA trend filter, four-hour RSI, and hourly RSI, MACD,…

加密貨幣永續期貨趨勢追蹤技術指標
Strategy library

This strategy combines a smoothed trend estimate from a time-series decomposition filter with volume-weighted price, Bollinger Band position measures, and a change in the difference between OBV and PVT. It compares Bollinger %B readings for price and the…

期貨加密貨幣技術指標趨勢追蹤
Strategy library

This document outlines a trend-following system that uses crossovers between shorter and longer moving averages. Its stated example enters long when the 8-period average crosses above the 13-period average and enters short when it crosses below. The source…

加密貨幣期貨趨勢追蹤技術指標
Strategy library

This long-only strategy combines a MACD crossover with a simple moving average filter. It enters when the MACD line crosses above its signal line, the MACD line is above zero, and the close is above the moving average. It exits when the close falls below…

期貨加密貨幣動能趨勢追蹤
Strategy library

This strategy plots Hull moving averages with periods 21, 233, and 377, then uses the shorter and intermediate averages to generate directional signals. A long entry occurs when the 21-period HMA crosses above the 233-period HMA; a short entry is triggered…

期貨加密貨幣趨勢追蹤技術指標
Strategy library

This strategy uses two zero-lag EMA lines, with lengths set to 5 and 34, to identify trend changes. It enters long when the faster line crosses above the slower one and short when it crosses below. It also allows entries when price crosses the faster line in…

期貨加密貨幣趨勢追蹤技術指標
Strategy library

This trend-following strategy uses an ATR-based trailing line to adapt the stop distance to recent volatility. Price crossing the stop establishes a directional state, while the trading code generates entries when price crosses that trailing line. The price…

加密貨幣期貨趨勢追蹤技術指標
Strategy library

This script outlines a session breakout system that tracks the high and low of an Asian trading window, then evaluates trades during a separate trading window. Its visible settings allow long-only, short-only, or two-sided trading, optional end-of-day…

突破風險管理部位規模技術指標
Strategy library

This strategy builds a trailing trend line from pivot points and an ATR range, then combines it with directional and trend-strength checks. In the supplied code, a long entry requires price above the trailing line and a simple moving average, along with ADX…

加密貨幣期貨突破趨勢追蹤
Strategy library

This strategy combines a T3 smoothed average with a three-bar bearish candle pattern to time short entries. The T3 line is built from six successive exponential moving averages and weighted coefficients. The described rule requires price to be above the T3…

期貨趨勢追蹤技術指標風險管理
Strategy library

This stock trend strategy adapts channel boundaries to recent volatility. It calculates a 21-day average true range (ATR) and recent high and low values, then offsets the channel edges inward by three times ATR. A signal is produced when price crosses a…

期貨加密貨幣趨勢追蹤波動率
Strategy library

This averaging strategy identifies pivot lows as support references and looks for price to fall below a reference level while relative volume exceeds a threshold. If a position is open and floating loss reaches a configured level, it adds further long…

部位規模風險管理技術指標回測
Strategy library

This price-action strategy looks for a three-bar Horn structure and waits for a fourth confirmation bar to break beyond the preceding pattern. A bullish setup uses a higher middle low, bullish outer bars, and a bullish confirmation close above the pattern…

技術指標突破風險管理回測
Strategy library

This long-only strategy uses a 13-period and a 26-period simple moving average to identify crossovers. It opens a long position when the faster average crosses above the slower one. It closes the position when the averages cross in the opposite direction or…

技術指標趨勢追蹤回測期貨
Strategy library

This strategy combines trend strength, momentum, and price relative to VWAP to generate long and short signals. It uses ADX above 25 as a trend filter, RSI and Stochastic RSI extremes to identify momentum conditions, and requires price below VWAP for a long…

技術指標動能風險管理回測
Strategy library

This proposed long strategy classifies conditions as trending, volatile, or consolidating using ATR, its smoothed average, and price distance from a 200-period simple moving average. It then combines a 10-period EMA crossing a 30-period SMA with MACD and…

期貨趨勢追蹤技術指標波動率
Strategy library

This long-only trend-following system uses a 9-period simple moving average and a 50-period simple moving average. A bullish crossover opens a position, while a bearish crossover closes it. The strategy requires the 14-period RSI to be above a threshold, set…

期貨趨勢追蹤技術指標部位規模
Strategy library

This strategy combines Parabolic SAR with an EMA to determine direction and qualify entries. SAR above price indicates a bearish state, while SAR below price indicates a bullish state. It proposes entering long when price is above the EMA in a bullish state…

期貨技術指標趨勢追蹤風險管理
Strategy library

This indicator combines the Ichimoku Kijun-sen with an exponential moving average to produce directional crossover signals. The Kijun-sen is calculated as the midpoint of the highest high and lowest low over its lookback period; the example uses 26 periods.…

技術指標趨勢追蹤
Strategy library

This strategy compares the averages of fast and slow moving-average ribbons to identify directional changes. The described configuration uses a five-day EMA and a 25-day WMA for the fast ribbon, and a 28-day EMA and a 72-day WMA for the slow ribbon; crossing…

期貨加密貨幣趨勢追蹤動能
Strategy library

This strategy script combines several indicators to define long and short entries on a selected symbol and timeframe. It uses a MACD line and signal-line crossover, then filters signals with ADX strength, price relative to a moving average, RSI relative to…

加密貨幣技術指標動能風險管理
Strategy library

This futures strategy estimates signed volume from lower-timeframe candles: volume is positive when a candle closes above its open, negative when it closes below, and zero when unchanged. It distributes those values across price bins within the chart…

期貨市場微結構交易執行風險管理