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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 strategy derives a bar-range measure from high and low prices, with an option to express the range as a percentage of close. It compares the absolute current measure with a lagged simple moving average and uses the comparison to choose a long or short…

期貨加密貨幣突破波動率
Strategy library

This daily-chart framework seeks pullback entries in established trends by combining price, moving averages, momentum, trend strength, and trading volume. For longs, the described filters require price above the long-term EMA and a mid-term EMA above that…

技術指標趨勢追蹤動能風險管理
Strategy library

This BTC futures strategy uses a 34-period simple moving average as the Bollinger centerline and plots bands at one and two standard deviations. It enters long when the close rises above the outer upper band and short when it falls below the outer lower…

期貨加密貨幣突破動能
Strategy library

This BTC futures strategy combines a short EMA with 20-period Bollinger Bands to identify possible breakout or reversal trades. The accompanying explanation says an excursion beyond a band sets up a signal, then a later move beyond the setup candle’s range…

期貨加密貨幣突破技術指標
Strategy library

The document describes a three-candle bullish reversal pattern: a bearish first candle, a smaller bullish second candle within the first candle’s range, and a bullish third candle closing above the earlier highs. It presents a short entry when this pattern…

加密貨幣期貨均值回歸技術指標
Strategy library

This example shows how to retrieve historical market data before live algorithm updates and use it to initialize indicators. It subscribes to two forex pairs at second resolution, creates fast and slow exponential moving averages for EUR/USD, and requests…

外匯趨勢追蹤技術指標回測
Strategy library

This strategy identifies bullish and bearish pinbar-like candles using the candle’s range and the placement of its open and close. It also requires the candle to extend beyond the preceding bar’s high or low. When enabled, the script enters long or short…

技術指標風險管理部位規模回測
Strategy library

The strategy combines Bollinger Bands with a selectable moving average and an optional volume filter. A close at or above the upper band can trigger a long entry when price is also above the moving average; a close at or below the lower band can trigger a…

加密貨幣期貨趨勢追蹤突破
Strategy library

This strategy combines a two-period RSI with fast and slow exponential moving averages. For a long entry, price must be above the slow average but below the fast one, while RSI crosses upward out of its oversold zone. A short entry mirrors those conditions:…

加密貨幣期貨均值回歸動能
Strategy library

The strategy uses 21-, 55-, 100-, and 200-period exponential moving averages to frame market trends. Its described signals are bullish or bearish crossovers between the 21- and 55-period averages, or between the 55- and 200-period averages. The document…

加密貨幣期貨趨勢追蹤技術指標
Strategy library

The document gives a brief contrarian rule for trading breaks from a Bollinger Band and Keltner Channel squeeze. When a candle breaks below both the lower band and channel and closes there, the author says to take a long position; a break above the upper…

均值回歸波動率突破技術指標
Strategy library

This strategy combines a four-EMA trend filter, Supertrend direction, and Stochastic crossovers. Its long setup requires the shorter EMA pairs to indicate an uptrend, a bullish Supertrend state, and a %K crossover above %D; the short setup applies the…

加密貨幣期貨趨勢追蹤動能
Strategy library

This example demonstrates applying a volume-share slippage model to a stock portfolio selected from an ETF’s constituents. The model is configured to limit fills to a fraction of historical trading volume and apply a specified market impact. The universe…

股票交易執行市場微結構回測
Strategy library

This strategy combines a Supertrend-style trend line with RSI thresholds to define long and short conditions. It calculates bands from a moving average and ATR, then treats price above the resulting line as bullish and price below it as bearish. A long…

加密貨幣趨勢追蹤動能技術指標
Strategy library

This strategy takes contrarian entries at Donchian Channel boundaries: it buys when price touches the lower band and sells short when price touches the upper band. The channel uses a 20-period lookback, with its centerline defined as the midpoint between the…

加密貨幣期貨均值回歸技術指標
Strategy library

The FiboBuLL Wave strategy uses a simple moving average and standard deviation bands to identify directional moves. It enters long after price closes above the upper band and short after a close below the lower band. The rules track which boundary was…

加密貨幣期貨突破波動率
Strategy library

This timing approach combines a 2/20 EMA signal with ADXR, a smoothed measure derived from ADX, to filter directional positions. The source calculates an EMA-based position state and an ADXR state; it enters long or short only when both states agree, and…

期貨加密貨幣趨勢追蹤技術指標
Strategy library

This script outlines a weekly long strategy for a leveraged equity ETF. It enters around the start of Monday, initially sets a profit target and hard stop, then adjusts the target based on Monday's closing return. A positive Monday result above a small…

股票動能風險管理交易執行
Strategy library

This strategy combines RSI threshold crossings with Bollinger Band crossings and requires both signals to coincide before placing an entry. It identifies a potential long when RSI crosses up through the oversold threshold and price crosses up through the…

期貨加密貨幣均值回歸技術指標
Strategy library

This strategy combines SuperTrend, which uses ATR to track directional changes, with an EMA filter. It enters long when price crosses above the SuperTrend line while above the EMA, and enters short when price crosses below the line while below the EMA.…

期貨加密貨幣趨勢追蹤突破
Strategy library

This strategy combines Bollinger Bands with RSI thresholds to select entries. It goes long when the close is below the lower band and RSI is below its oversold threshold, and short when the close is above the upper band and RSI is above its overbought…

技術指標均值回歸部位規模風險管理
Strategy library

This strategy builds Bollinger Bands from a moving average of closing prices and a standard-deviation-based width. In the stated example, the middle line uses a 20-period average and the bands are two standard deviations above and below it. A close below the…

加密貨幣期貨均值回歸技術指標
Strategy library

This experimental strategy combines a fast and slow volume-weighted moving average (VWMA) crossover with a k-nearest-neighbors classifier. A fast-line cross above the slow line proposes a long entry, while a cross below proposes a short entry. The classifier…

期貨趨勢追蹤機器學習技術指標