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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
Quantopian 講座
45 份文件
Binance API docs
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 trend-following setup combines Supertrend direction on a shorter and a longer timeframe with StochRSI extremes. The stated defaults use 1-hour and 4-hour Supertrends. The strategy looks for both to agree on direction, then checks whether a StochRSI…

期貨加密貨幣趨勢追蹤技術指標
Strategy library

This Lean example demonstrates how to implement a custom simple moving average as a Python indicator and connect it to built-in indicators through extension helpers. The custom indicator maintains a fixed-length queue of recent input values, updates its…

股票技術指標統計
Strategy library

The strategy compares calculated trends across several timeframes, from 15 minutes through daily, using a collection of smoothed averages and oscillators. It describes a signal when the shorter timeframe reverses while longer timeframes have not, with trend…

期貨加密貨幣趨勢追蹤技術指標
Strategy library

This strategy uses three simple moving averages to generate directional trades: a crossover between short and long averages supplies the signal, while a third average filters trades according to the broader trend. It includes percentage based stop-loss and…

期貨趨勢追蹤技術指標風險管理
Strategy library

This BTC futures strategy uses a T3 moving average as a broad trend filter, a price-range breakout signal, and a momentum confirmation. A long signal occurs when price crosses above a threshold based on the recent high and average high-low range, TDFI is…

期貨趨勢追蹤突破技術指標
Strategy library

This document sketches a periodic stock-selection and execution process focused on the five smallest companies by market capitalization in the CSI 300 universe. On the first incoming market bar, the strategy selects the target basket and compares it with…

股票中國市場因子投資投資組合建構
Strategy library

This BTC futures strategy combines fast and slow VWAP based trend lines with a breakout and volume confirmation. It builds the trend lines from VWAP calculations and rolling high-low midpoints, then derives Bollinger Bands from the average of the fast and…

期貨趨勢追蹤突破技術指標
Strategy library

This long-only strategy combines short-term RSI mean reversion with a 200-period simple moving average trend mode. When price is below the average, RSI below 20 can trigger a countertrend entry, sized with a configurable mean-reversion factor. When price is…

均值回歸趨勢追蹤技術指標部位規模
Strategy library

This strategy description combines Hull moving averages, RSI, the Chande Momentum Oscillator, recent price highs and lows, and ATR-based bands. The narrative presents RSI and CMO thresholds as momentum confirmation and describes trend changes when price…

期貨加密貨幣趨勢追蹤技術指標
Strategy library

The traffic-light strategy uses three shorter exponential moving averages to assess directional alignment, plus a longer-period EMA as a market filter. The stated defaults are 8, 14, and 16 periods for the fast, medium, and slow lines, with a 100-period…

期貨加密貨幣趨勢追蹤技術指標
Strategy library

This short-term strategy compares three moving averages intended to reduce lag. Its stated setup uses fast, medium, and slow lines with periods of 12, 26, and 55. Entries depend on a crossover between the fast and slow lines, conditioned on the fast line's…

期貨加密貨幣趨勢追蹤技術指標
Strategy library

This strategy uses an Alpha Trend indicator to generate directional signals. A crossover of the indicator with its value from two bars earlier triggers a long or short entry. The published description relates the indicator to trend direction and describes…

期貨加密貨幣趨勢追蹤技術指標
Strategy library

This strategy combines five-wave Elliott pattern rules with a 200-day simple moving average filter. It looks for rising highs across the first, third, and fifth waves and specified higher corrective lows to identify a bullish pattern; the bearish rules…

技術指標趨勢追蹤期貨回測
Strategy library

This document describes a mean-reversion approach that uses RSI extremes to enter long and short positions. It treats RSI below 30 as oversold and above 70 as overbought, buying in the lower zone and selling short in the upper zone. The accompanying source…

技術指標均值回歸期貨風險管理
Strategy library

This strategy combines the Stochastic Slow oscillator with RSI to seek reversal entries when both indicators show an extreme reading. It uses a 14-period lookback for each, smooths Stochastic %K and %D with 3-period settings, and sets overbought and oversold…

技術指標均值回歸期貨回測
Strategy library

This strategy uses a fast and a slow weighted moving average, with the fast period set to half the slow period, to frame directional signals. It also derives a momentum measure from the difference between the averages and compares smoothed values across…

技術指標動能趨勢追蹤加密貨幣
Strategy library

This simple long-only approach measures percentage price change over a selected lookback period and buys when the decline exceeds a chosen threshold. After entry, it sets stop-loss and take-profit levels relative to the average entry price. The document also…

加密貨幣期貨均值回歸風險管理
Strategy library

This script derives a central pivot and Fibonacci-scaled support and resistance levels from daily high, low, and close values. It looks for rejection moves at selected levels: longs when price recovers above support, and shorts when price falls back below…

技術指標風險管理部位規模回測
Strategy library

This strategy combines 2-, 7-, and 14-period RSI readings to identify unusually oversold or overbought conditions. It enters long when all three readings fall below their respective thresholds and short when all rise above theirs. An accuracy setting adjusts…

技術指標均值回歸加密貨幣期貨
Strategy library

This example demonstrates how an options strategy helper can package orders for a naked put position. It sorts the available option contracts first by closeness of strike to the underlying price and then by expiry, with the expiry sort applied last; it…

選擇權衍生品定價風險管理交易執行
Strategy library

This document describes a Python helper for retrieving futures candlestick data from HeXun’s third-party service. The function accepts an instrument, bar interval, requested history size, and options for including the latest bar or returning a DataFrame. It…

期貨大宗商品中國市場交易執行
Strategy library

This intraday trend-following strategy combines the MACD histogram, a long-period exponential moving average, and Williams Alligator lines. It takes long positions when the histogram is positive, price is above the Alligator lips and long-period average, and…

技術指標趨勢追蹤動能加密貨幣
Strategy library

The script builds a charting and strategy framework around multiple simple and exponential moving averages. Its configurable periods include Fibonacci-like values as well as other lengths, ranging from short averages to very long ones. Users can toggle SMA…

技術指標趨勢追蹤
Strategy library

This document describes a simple moving-average strategy that compares a selected price series with an SMA. A move above the average signals a long position, while a move below signals a short position. Trading is limited to a configurable session, and…

技術指標趨勢追蹤風險管理交易執行