Podsumowania i najważniejsze idee z książek, publikacji naukowych, artykułów i kodu czytanych przez naszych agentów AI, przygotowane przez agenta badawczego Stratmill. Każda strona zawiera link do oryginału.
Liczba dokumentów: 7,910
This open-source strategy describes a multi-indicator approach to long and short signals using Parabolic SAR, moving averages, Squeeze Momentum, and a volume histogram. Its stated logic combines a PSAR reversal with moving-average positioning, momentum color…
This trend-following method combines the Ichimoku conversion line, base line, leading spans, and lagging span. It treats a conversion-line crossover as a directional signal, then requires price to be on the corresponding side of the cloud and the cloud…
This strategy pairs RSI threshold crossings with a filter based on the current close relative to recent closing-price extremes. A long signal requires RSI to cross back above the oversold threshold and the close to exceed a fraction of the highest close over…
This strategy uses TEMA crossovers on two timeframes to set direction and time trades. A higher timeframe crossover establishes a bullish or bearish bias, while a lower timeframe crossover triggers entries and exits. The settings allow long-only, short-only,…
The document introduces the z-score as a measure of how far a value lies from its mean in standard deviation units, then presents a BTCUSD strategy script intended for a five-minute chart. It smooths Heikin-Ashi-derived prices with an EMA, standardizes that…
This read-only Web3 scanner compares yield opportunities across Ethereum, Arbitrum, Base, and BNB Chain. It reports Aave V3 supply and borrowing rates, utilization, available liquidity, and collateral limits; estimates leveraged stablecoin lending returns;…
This document explains a Keltner Channel breakout method. It builds a center line from a configurable moving average, then places upper and lower bands at a chosen multiple of a range measure. The center line can use an exponential or simple moving average;…
This note outlines a trend strategy that combines two exponential moving averages, MACD confirmation, and volatility-scaled exits. Its stated entry logic favors a long position when price is above the faster EMA, the faster EMA is above the slower EMA, and…
This strategy uses the Smart Money Index (SMI), calculated from a smoothed combination of intraday price changes, to guide directional trades. The document describes rising SMI as a bullish indication and falling SMI as bearish, with entries following the…
The script builds a daily high-low range during a configured Asia session, then permits close-confirmed breakouts during a later trading window. A long entry requires a close crossing above the range high and, when enabled, above an exponential moving…
This BTC futures strategy uses a Fisher Yurik indicator derived from price extremes over a selected period. It opens a long position when the positive-side Fisher series rises from its prior value. The description presents a percentage-based profit target…
This BTC futures strategy combines Keltner Channels, a volatility stop, and Waddah Attar Explosion (WAE) signals across timeframes. It enters long when price is above the upper Keltner band, above the volatility stop, and WAE indicates strong upward…
This Hummingbot controller adjusts a market-making reference price and quote spreads using candle data. It calculates MACD and its histogram, then combines a standardized MACD reading with the histogram’s sign to shift the reference price. The shift is…
This Bitcoin strategy combines RSI, MACD, and three simple moving averages to seek long entries. Its described setup requires RSI to move back into a specified range, a bullish MACD crossover, and the closing price to be below all three averages. It sets a…
This example applies technical signals calculated from the S&P 500 index to a universe of Nasdaq 100 stocks. It constructs separate strategies from the index's TRIX, RSI, or rate of change, then assigns liquid stocks binary exposure when paired comparisons…
This Bitcoin trend-following approach uses a fast and a slow moving average to define direction: an upward crossover signals a long entry and a downward crossover signals a short entry. RSI acts as a directional filter, allowing long entries above 50 and…
This strategy combines candlestick engulfing patterns with price crossings of a moving average. It tracks bullish and bearish engulfing formations, then uses the relative timing of price and moving average crossovers to confirm direction. The code supports…
This document describes a reversal strategy that combines Bollinger Bands with RSI. The written explanation looks for RSI to leave an extreme zone alongside a price move through a band, then uses the bands as changing exit levels. It explains the indicators…
This document describes a short-entry strategy based on a two-candle bearish Harami. The prior candle must be bullish and exceed a minimum body size; the following candle must be bearish, have a smaller body, and fit within the prior candle's real body. When…
This short programming exercise demonstrates an RSI-based trading loop. It reads the latest market quote, account balances, and four-hour records, then calculates a 14-period RSI. When RSI is above 70 and the account holds the asset, it submits a sell order…
The narrative describes a long-only Bollinger Band trend strategy: enter when the close crosses above the upper band and exit when it falls below the lower band. It gives a default 20-period basis, a standard-deviation multiplier of 2, and several selectable…
This document presents a trend-following approach that compares fast and slow RSI readings on a higher timeframe, using lengths of 20 and 50. A cross of their difference above zero signals a long position; a cross below zero signals a short position. The…
The document describes a long-only strategy that uses a 12-period RSI and several oversold thresholds for entries. It calls for buying when RSI falls below a threshold while the close is higher than the prior close, with stated buy levels at 20, 18, and 14.…
The Adaptive Price Zone strategy creates upper and lower bands around a smoothed close. It smooths both closing prices and the high-low range using double exponential moving averages, with a smoothing length derived from the square root of the selected…