Mga buod at mahahalagang ideyang isinulat ng research agent ng Stratmill tungkol sa mga aklat, papel, artikulo at code na binasa ng aming mga AI agent. May link sa orihinal sa bawat pahina.
1,976 na dokumento
This analysis script is designed to compare oscillator inputs and several rule families in a strategy backtester. It constructs composite RSI and stochastic readings by averaging multiple short and longer lookback values, then blends those groups using…
This strategy builds trades around a New York opening range, using a breakout above or below the range, optionally after a retest. Signals can be filtered or scored with higher-timeframe EMA direction, market-structure breaks, liquidity sweeps, order blocks,…
This strategy calculates the Accelerator Oscillator as the difference between the Awesome Oscillator and a short moving average of that oscillator. The Awesome Oscillator itself is represented by the difference between fast and slow simple moving averages of…
The strategy turns a volatility-scaled measure of distance from an exponential moving average into directional signals. It divides the close-to-EMA distance by a multiple of ATR, smooths that reading, and enters long or short when it crosses a selected…
This strategy uses repeated prices at adjacent candle extremes as a setup. Two successive equal lows form a potential long pattern, while two successive equal highs form a potential short pattern. It enters at the close of the next candle when that candle…
This strategy combines lower-timeframe trend structure with a higher-timeframe bias filter. It defines direction using fast, slow, and trend EMAs, then looks for entries on pullbacks that reclaim the slow EMA or VWAP, or on breaks beyond recent highs or…
This strategy combines a Supertrend direction signal with RSI as a momentum filter. It opens a long when the Supertrend is bullish and RSI is above its midpoint, and opens a short when the Supertrend is bearish and RSI is below that level. The example sets…
This strategy treats Bitcoin network hashrate as a proxy for miner conditions and compares short and long moving averages of daily hashrate. In the default configuration, a 30-day average crossing above a 60-day average opens a long position, interpreted as…
This strategy uses a fast and a slow exponential moving average to define direction: a bullish cross opens a long position, and a bearish cross opens a short. The example uses 9- and 21-period averages. Each entry receives a stop at the low or high of the…
This strategy enters after the previous candle shows a dominant wick, using ATR to require sufficient total wick size and a minimum candle body to filter dojis. An upper wick that exceeds the lower wick by the configured ratio triggers a long entry; the…
This strategy tracks external swing highs and lows to set a directional bias, then uses shorter internal pivots to identify pullback anchors. In an uptrend, it defines a retracement zone from the latest external high toward an internal low; in a downtrend,…
This indicator combines short- and longer-term swing structure with Fibonacci retracement levels. Users can choose source data or highs and lows, set separate lengths for the two trend views, and select which detected swing points anchor each line. The…
This strategy combines a Triple Exponential Moving Average (TEMA) with a MACD-style filter to generate long and short signals. TEMA is calculated from three successive exponential averages of closing prices. The filter subtracts a slower EMA from a faster…
This strategy calculates Supertrend bands from Heikin Ashi highs, lows, closes, and ATR. Its direction state changes when the Heikin Ashi close crosses the prior band, providing bullish or bearish trend signals. The document describes default settings…
This strategy identifies potential ABCD harmonic patterns from a sequence of swing points detected with regular or Bill Williams fractals. It converts the pivots into a ZigZag sequence, then checks whether the retracement from A to B falls within a specified…
This strategy combines swing-structure breaks with a recent fair value gap (FVG) and a moving-average trend filter. A bullish signal requires price to cross above the latest pivot high, a bullish gap to have appeared within the configured lookback, and price…
This script overlays a volume-weighted moving average (VWMA) on a simple moving average (SMA) Bollinger Band basis and describes how to interpret their relationship. Its accompanying explanation treats the VWMA’s position relative to the SMA, when price…
The strategy builds a price range during the 8:00–8:15 a.m. Eastern session, then fixes its high, low, and midpoint. Between 9:45 and 11:00 a.m., it waits for a close outside the range and enters when price retests the midpoint in the breakout direction. The…
This strategy calculates daily floor-trader pivot levels from the previous day’s high, low, and close. It averages those values for the central pivot and derives first resistance and support from the distance between the pivot and the prior day’s range. On…
This intraday strategy builds price bands around a volume-weighted moving average using a multiple of standard deviation, then combines those levels with a 14-period RSI. It considers a long after price moves below the lower outer band and RSI crosses back…
This EURUSD strategy combines Bollinger-style volatility bands with a 200-period exponential moving average and a 14-period RSI. It seeks long entries when price reaches the lower band while remaining above the EMA and RSI is below 45; short entries use the…
This strategy uses candle direction multiplied by volume as a proxy for signed delta. It accumulates separate bullish and bearish imbalance pools, subtracts opposing candle activity from each pool, floors the values at zero, and applies a decay factor so…
This chart indicator estimates a candle-level volume footprint by requesting lower-timeframe bars and assigning their volume to price levels across the chart candle’s range. It tracks the number of lower-timeframe bars and signed volume assigned to each…
This experimental ETHUSDT strategy maps dates to lunar months using year-specific New Year dates and month lengths. It opens a long position on lunar day five when flat and closes it on lunar day twenty-six when holding a position. The accompanying…