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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 example schedules a target futures position across a chosen trading window using historical intraday volume patterns. It divides the session into fixed-length time cells, calculates each cell’s share of total session volume for each selected prior…

交易執行市場微結構期貨回測
Strategy library

This long-only system combines a volume-weighted moving average with a smoothed RSI variant. It seeks entries when the close is above the VWMA and the smoothed RSI is above its threshold; exits occur when price falls below the average and RSI drops below its…

技術指標動能機器學習風險管理
Strategy library

This strategy combines Supertrend, which uses price and ATR to track trend direction, with the SSL Channel, built from moving averages of highs and lows. Breaks or crosses in these indicators generate directional signals. In confirmation mode, the system…

趨勢追蹤技術指標波動率風險管理
Strategy library

This strategy looks for price deviations from a rolling mean after converting closing prices to logarithms. It uses a rolling mean and standard deviation to form a Z-score, opening long positions when the score falls below a negative threshold and short…

均值回歸統計波動率風險管理
Strategy library

This trend-following method estimates direction over two lookback periods. For each period, it compares the close with the midpoint of the recent high-low range, then smooths consecutive above- or below-midpoint readings. A long signal occurs when both…

趨勢追蹤技術指標期貨加密貨幣
Strategy library

This trend-following approach uses a 200-period simple moving average as its main filter. It looks for price crossings, then confirms signals using RSI thresholds, ADX above 20, and a two-bar delay. The description specifies an ATR-based stop and a fixed 2%…

趨勢追蹤技術指標風險管理回測
Strategy library

This strategy uses a 14-period and a 28-period simple moving average to generate directional signals: an upward crossover indicates a long, while a downward crossover indicates a short. The description specifies a 2% stop loss and a 4% take-profit level,…

期貨加密貨幣技術指標風險管理
Strategy library

This short script uses 5-period and 13-period exponential moving averages to generate trading signals. It enters long when the fast average crosses above the slow one and short when it crosses below. Each entry sets a stop 1% from the signal bar’s close and…

技術指標動能風險管理
Strategy library

This strategy calculates Fibonacci retracement levels from the rolling high and low over a configurable lookback. It seeks bullish candles near the low boundary and bearish candles near the high boundary, then requires volume to exceed a multiple of its…

期貨技術指標均值回歸波動率
Strategy library

This strategy combines Parabolic SAR readings from the chart timeframe and a user-selected higher timeframe. Its dual-confirmation mode enters when both readings indicate the same direction and the chart-timeframe SAR has just flipped. Alternative modes use…

趨勢追蹤技術指標風險管理多資產
Strategy library

This strategy uses a Donchian channel to define a midpoint between the recent highest high and lowest low. It enters long when the close crosses above that basis and short when it crosses below, provided the signal falls within an optional trading session…

技術指標趨勢追蹤風險管理回測
Strategy library

This intraday NQ strategy records the high and low formed during the New York lunch session, then watches for the first sweep during the afternoon trading window. A short setup occurs when price moves above the lunch high but closes back below it; a long…

期貨均值回歸突破技術指標
Strategy library

This strategy tests a fixed weekly schedule for Bitcoin: enter long on Monday morning and close on Wednesday afternoon, using New York time. On intraday charts it looks for the specified hours and minutes; on daily or higher charts it uses the weekday alone,…

加密貨幣現貨市場事件驅動回測
Strategy library

This example applies a z-score to daily closing prices for a gold futures contract. It calculates the mean and standard deviation over a rolling window, then compares the latest close with that mean in standard deviation units. When flat, it buys after a…

期貨大宗商品均值回歸統計
Strategy library

This strategy estimates short-term cost as the midpoint between the highest high and lowest low over a recent window, then compares it with a long-term simple moving average of closing prices. A simple moving average smooths that deviation. Values above a…

趨勢追蹤技術指標期貨加密貨幣
Strategy library

Despite its pair-trading label, this document describes a long-only strategy for a single instrument. It combines three simple moving averages and two exponential moving averages with candle and volume conditions to create two alternative entry signals. One…

股票技術指標趨勢追蹤風險管理
Strategy library

This mean-reversion strategy uses two Bollinger Band envelopes around a 20-period simple moving average, one at two standard deviations and another at three. It opens a long when price crosses back above the lower three-standard-deviation band, or a short…

均值回歸波動率技術指標期貨
Strategy library

This strategy uses the change in closing price over a lookback period as a simple linear regression slope proxy to classify conditions as bullish or bearish. Its published defaults are a 20-bar slope length, a 50-bar simple moving average, and a slope…

趨勢追蹤技術指標統計回測
Strategy library

This strategy looks for potential turning points by combining RSI extremes, above-average volume, and evidence of a recent low or high being swept and reclaimed. Bullish exhaustion requires RSI below 35, volume above 1.2 times its 20-bar average, and either…

技術指標均值回歸市場微結構
Strategy library

This strategy combines a short-period RSI with consecutive candle colors to look for reversals after sustained moves. It uses an RSI period of 7 and a threshold of 30, treating readings below 30 as oversold and readings above the mirrored 70 level as…

加密貨幣期貨均值回歸技術指標
Strategy library

This trend-following framework builds a range filter from a simple moving average and a smoothed measure of price deviation. It confirms an uptrend when price closes above the upper band for two consecutive periods and a downtrend after two closes below the…

趨勢追蹤突破波動率部位規模
Strategy library

The strategy uses AlphaTrend, a trailing curve built from an ATR-based band and a directional filter. It selects RSI when volume data is unavailable and MFI when volume is present, then generates long or short signals when AlphaTrend crosses its value from…

技術指標趨勢追蹤突破波動率
Strategy library

This strategy combines a 200-period exponential moving average as a directional filter with MACD alignment and an ADX threshold to identify potential trend entries. Long conditions require price above the EMA, MACD above its signal line while below zero, and…

技術指標趨勢追蹤動能風險管理
Strategy library

This short-term strategy uses a 20-period simple moving average and a 21-period exponential moving average to generate directional signals. It buys when the EMA crosses above the SMA and sells when the SMA crosses above the EMA, treating the crosses as…

技術指標趨勢追蹤高頻交易風險管理