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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
Quantpedia
86 份文件
TqSdk
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 strategy seeks potential turning points by counting sustained price moves relative to closes several bars earlier. It uses separate bullish and bearish counts and displays signals at three thresholds: 9, 12, and 14. The strategy enters in the direction…

期貨加密貨幣技術指標風險管理
Strategy library

This short-term strategy uses a 20-period simple moving average and bands set two standard deviations above and below it. It goes long when the close crosses upward through the lower band and goes short when the close crosses downward through the upper band,…

期貨加密貨幣動能技術指標
Strategy library

This strategy identifies short-term price moves that exceed a configurable percentage threshold over a lookback interval, then trades against the move: an unusually large rise triggers a short, while an unusually large fall triggers a long. The description…

均值回歸技術指標風險管理部位規模
Strategy library

The visible portion describes a configurable strategy framework combining impulse, compression, breakout, and retest setups with trend pullbacks and liquidity sweeps. Users can choose breakout entry or wait for a retest, allow long or short trades, and set a…

突破趨勢追蹤動能風險管理
Strategy library

This script outlines a strategy built around bullish and bearish fair value gaps. It detects a gap when the current candle’s low is above the high from two candles earlier, or when its high is below the low from two candles earlier. A same-direction candle…

技術指標突破風險管理部位規模
Strategy library

This short-term strategy builds price bands around an EMA using ATR distances multiplied by configurable Fibonacci ratios. It offers several upper and lower thresholds, with entry conditions selected by choosing which prior-bar band the closing price must…

突破均值回歸技術指標風險管理
Strategy library

This strategy description combines an EMA50 direction filter with candle patterns and a retest condition. Long setups require price above the average, a bullish engulfing or pin-bar pattern, and a retest from below; short setups mirror these conditions below…

趨勢追蹤技術指標風險管理期貨
Strategy library

This trend-following strategy compares two adaptive averages: MAMA and its smoother companion, FAMA. The MAMA smoothing factor changes with the estimated phase difference, bounded by user-selected fast and slow limits; FAMA applies a further low-pass…

趨勢追蹤技術指標期貨加密貨幣
Strategy library

This Pine strategy buys when price breaks above the upper Donchian Channel and exits by trailing a stop along the lower channel. The upper and lower lookback periods can be set independently, allowing breakout and exit sensitivity to differ. Traders can…

突破趨勢追蹤技術指標風險管理
Strategy library

The strategy combines stochastic readings from the current chart period and a smoothed series intended to represent a three-times-longer period. It opens long when the higher-period K value crosses above the midpoint while current K is above D and the…

加密貨幣期貨趨勢追蹤技術指標
Strategy library

This strategy smooths log prices with a Nadaraya–Watson kernel regression and surrounds the estimate with volatility bands derived from ATR. The bands use near and far multipliers, while configurable regression and ATR settings control their behavior. The…

加密貨幣期貨均值回歸波動率
Strategy library

This strategy combines a fast and slow EMA crossover with directional movement signals. It enters long when the short EMA crosses above the long EMA and the DMI conditions favor buyers; it enters short when the EMA crossover and DMI conditions favor sellers.…

加密貨幣期貨趨勢追蹤動能
Strategy library

This strategy uses crossovers between a short and long exponential moving average to signal direction, then checks RSI and MACD alignment before entering. It also describes an initial stop and a profit target, with a trailing stop intended to protect gains…

加密貨幣期貨趨勢追蹤技術指標
Strategy library

This cryptocurrency trend-following strategy uses a Variable Index Dynamic Average (VIDYA), whose smoothing responds to a Chande Momentum Oscillator (CMO) derived from recent price changes. The strategy goes long when VIDYA rises and closes the long position…

加密貨幣期貨趨勢追蹤技術指標
Strategy library

This strategy combines two Hull moving average constructions with a volume-weighted moving average, MACD, and the True Strength Index (TSI). The Hull lines provide the main directional signals. The other indicators act as conditions: price and Hull values…

技術指標趨勢追蹤動能期貨
Strategy library

This strategy combines Ichimoku calculations with Bollinger Bands. Its trading signals come from price crossing the 52-period Ichimoku Span B: an upward cross opens a long position, and a downward cross opens a short position. The position closes when the…

技術指標趨勢追蹤波動率期貨
Strategy library

This strategy uses 9-period and 21-period exponential moving average crossovers to enter long and short trades, closing on an opposite crossover. It calculates stop and target prices from the entry price, with a stated default stop distance of 0.5% and a…

技術指標趨勢追蹤風險管理部位規模
Strategy library

This document describes a calendar-based cryptocurrency strategy that buys on the fifth day and sells on the twenty-sixth day of each lunar month. It derives lunar dates from year-specific New Year dates and monthly lengths, then uses those dates to trigger…

加密貨幣期貨動能回測
Strategy library

This strategy combines two MACD histograms to align shorter-term entries with a longer-term trend. It describes long entries when the short-term histogram is positive and the longer-term histogram turns positive, with the inverse conditions for short…

趨勢追蹤動能技術指標風險管理
Strategy library

This document presents a trend-following method that pairs fast and slow simple moving averages with a MOST indicator. A fast-average crossover above the slow average is described as a buy signal, and a downward crossover as a sell signal. The written…

期貨加密貨幣趨勢追蹤技術指標
Strategy library

This document describes a trend-following strategy built around John Ehlers’ three-pole Butterworth low-pass filter. A recursive calculation smooths price data and produces a trigger line from the prior filter value. The strategy enters long when the filter…

期貨加密貨幣趨勢追蹤技術指標
Strategy library

This calendar-based strategy attempts to buy gold at the start of Friday’s session and close the position later in the session. It includes configurable start and end dates for backtesting, along with commission, slippage, order-processing, and position-size…

大宗商品事件驅動回測交易執行
Strategy library

This long-only strategy calculates support and resistance from the lowest low and highest high over a chosen lookback, then derives upper and lower channel boundaries using a percentage width. The described entry occurs when price is within one percent of…

均值回歸技術指標風險管理期貨
Strategy library

This strategy combines a moving-average trend filter with a breadth-style participation proxy and ATR-based exits. It treats the fast EMA being above the slow EMA as a bullish trend, and below it as bearish. The proxy is the rolling average of a binary…

趨勢追蹤技術指標風險管理股票