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: 1,976
This indicator flags a possible reversal when a selected moving average has moved in one direction for a chosen number of bars and then turns. It supports several common moving-average types, including simple, exponential, weighted, volume-weighted, Hull,…
This chart indicator draws a sequence of expanding circles around selected price and time anchors. Anchors can be confirmed pivot highs or lows, or the start of a daily, weekly, or monthly period. The circle sizes follow a Fibonacci-like recurrence: after…
This strategy looks for a fair value gap (FVG) that forms alongside a break of a confirmed swing high or low. It defines bullish and bearish gaps from a three-bar price pattern, then filters them by the middle candle’s body size and the gap’s size relative…
This indicator marks pivot highs and lows, then tracks them as potential market-structure boundaries. Between new pivots, it moves the high boundary down and the low boundary up by an ATR-scaled amount each bar. A price crossing a boundary registers a…
This strategy uses Bollinger Bands and RSI to seek long or short entries near price extremes, optionally filtered by a long-term exponential moving average. Traders can choose a band-touch entry, which requires price beyond a band with RSI at an extreme, or…
This intraday strategy combines a daily directional bias with prior-day liquidity levels, swing structure, and order blocks. It tracks sweeps of the previous day's high or low, identifies swing points with a five-bar fractal, and marks a market structure…
This strategy compares the rate of change of eight user-selected symbols and ranks them by recent momentum. It enters a long position on the chart symbol only when that symbol leads the basket and closes above its own prior high over a configurable lookback.…
This strategy seeks short-term crypto trades by requiring several indicators to align. A SuperTrend-style direction change must coincide with a MACD crossover, RSI above or below 50, a Bollinger Band breakout, a volume surge, and sufficient ATR relative to…
The strategy seeks reversals by combining rolling high and low levels with an ATR-based trend band and RSI. A breach of a recent extreme activates a tracked level; the adaptive trend state and an RSI reading recently in an overbought or oversold zone…
This strategy uses a higher-timeframe candle pattern to establish directional bias, then maps a swing on a lower timeframe. It draws a Fibonacci range from the swing’s start to its extreme and looks for a pullback to the midpoint. Stops are placed beyond the…
This strategy tutorial shows how to build a system from three configurable moving averages. Each average can use a different type, source, lookback period, and chart interval. The strategy can trade selected pairwise crossovers, drawing on simple,…
This Pine strategy combines a trend-following system built around TEMA, LSMA, and a longer EMA with separate reversal logic. Trend entries use alignment, volume, trend duration, and strength filters, while ATR-based stops, targets, and time-in-trade limits…
This strategy turns candle-shape rules into long and short signals. A bullish setup qualifies when the candle body closes in the upper portion of its range; a bearish setup qualifies when the body lies in the lower portion. The threshold is adjustable…
This intraday strategy tracks the high and low of an Asia session, then looks for a sweep beyond one of those boundaries during a configured London window. A sweep sets a direction; entry requires a large directional candle whose body exceeds the 14-period…
This strategy uses a crossover between the 9-period and 20-period exponential moving averages to set a directional bias. After a bullish crossover, it waits for price to touch either average and then close on an up candle; after a bearish crossover, it…
This TradingView indicator builds a side-by-side table for five user-selected stocks. It retrieves price and company data such as earnings per share, price-to-earnings, price-to-sales and price-to-book ratios, profit margin, debt-to-equity, and current…
This indicator estimates buying and selling volume within each chart bar by examining lower-timeframe intrabars, then expresses their difference as delta volume and as a share of total intrabar volume. It applies those delta-volume weights to a configurable…
This strategy is intended for a 15-minute XAUUSD chart and takes long positions when a UT Bot trailing-stop signal turns bullish, price is above a higher-timeframe EMA, and ADX exceeds a threshold. Its defaults use a one-hour 200-period EMA, a UT Bot ATR…
This intraday strategy looks for pullbacks toward a daily session VWAP, then enters in the direction of a trend. A trend requires price to remain on the appropriate side of VWAP and a volatility-scaled EMA slope to point the same way; an EMA50 price filter…
This open-source strategy is designed for a one-hour chart and combines SuperTrend direction changes with an ADX strength filter and an optional four-hour SuperTrend alignment check. It enters long or short when the one-hour SuperTrend flips direction,…
This indicator places selected company financial data beside a price chart in a configurable table. Its available measures span income statements, balance sheets, cash flows, financial and operating statistics, and calculated valuation metrics. Users can…
This rules-based framework compares a charted stock with a configurable sector ETF using a price ratio and a moving average of that ratio. It combines relative performance with a fast and slow exponential moving average on the stock itself: long signals…
This indicator adapts a simple k-nearest-neighbors idea to a price series. It compares adjacent observations across a configurable window using absolute price differences, selects values according to a distance-based rule, and averages the resulting…
This strategy identifies bullish or bearish market structure breaks by detecting price crossings of recent pivots, with a momentum z-score filter. On a break, it searches recent bars for an opposite-colored candle and uses that candle’s high and low to…