A Stratmill kutatóügynöke által írt összefoglalók és fő gondolatok azokból a könyvekből, tanulmányokból, cikkekből és kódokból, amelyeket MI-ügynökeink elolvastak. Minden oldal az eredeti műre mutat.
Dokumentumok száma: 1,976
This strategy classifies trend state using a smoothed oscillator formed from the difference between fast and slow simple averages of the bar midpoint. Its signal modes either enter when bullish or bearish bias begins, or trigger on the appearance of a strong…
This indicator builds a volume profile across a configurable lookback window by dividing the observed price range into bins. It allocates each candle’s volume to nearby bins based on the candle’s closing price, then classifies that volume as bullish or…
This strategy looks for a sweep of the previous three-hour candle’s high or low, then waits for a change of character on the chart’s current timeframe before entering in the opposite direction. A high sweep arms a short setup, while a low sweep arms a long…
This strategy combines Keltner Channel breakouts with position sizing based on a Kelly fraction calculated from the strategy’s closed-trade record. It estimates win probability from winning versus total trades and compares average wins with average losses.…
This indicator scans Zigzag pivots for user-configured harmonic patterns, using either five or six pivots. It calculates ratios between pivot legs and validates candidate patterns against enabled ratio targets or ranges. When a target is specified as a…
This script assembles a table for a user-defined universe of up to 120 symbols, largely cryptocurrency pairs across several exchanges. It requests higher-timeframe data for each symbol and presents price-change, moving-average, and RSI readings. Users can…
This indicator builds a price-level display from lower-timeframe data, with selectable views for total volume, volume delta, or open-interest delta. It groups activity into levels spaced by ticks or percentages, then draws profile elements, a heatmap, and an…
This strategy looks for directional breakouts beyond Bollinger Bands. A long setup requires price to cross above the upper band after the prior close was inside it; a short setup mirrors this below the lower band. RSI thresholds, volume above its moving…
This strategy combines a double Hull-style moving average, a volume-weighted moving average, and a longer weighted moving average. It compares the double Hull series with its prior-bar counterpart to establish direction, then uses the averages’ relative…
This strategy records the high and low of a defined Asian session, then places stop entries at those range boundaries during a later trading window. Users can choose long trades, short trades, or both. Optional filters require a minimum range width relative…
This example adapts a built-in volume indicator to make current volume and its simple moving average easier to read. It retains volume columns and adds a configurable average overlay, while an on-chart table displays the latest values. The table uses color…
This strategy uses price momentum over a configurable lookback to place stop entries above the current bar’s high for long trades or below its low for short trades. It requires both the lookback momentum and its one-bar change to point in the same direction,…
This strategy script combines time-based trade windows with breakout entries, configurable stop-loss and take-profit distances, and an optional ATR-based stop. It includes a choice of regime filters, including an Andean oscillator and a Larry Williams…
This long-only grid strategy divides a user-defined price range into levels spaced either geometrically or arithmetically. On a close crossing downward through an unowned level, it opens a position sized from an equal share of the specified investment; when…
VADER estimates buying and selling pressure by combining the direction and size of close-to-close price changes with associated trading volume. It normalizes price movement by a recent bar range, limits extreme normalized changes, and weights the result by a…
This indicator compresses the relationship between price and dynamic support and resistance levels into a dot display and an optional histogram. It compares price with four Ichimoku components and two moving averages, using ZLEMA by default; EMA, SMA, and…
This indicator expresses closing price as a rolling z-score: the distance from its lookback simple moving average divided by the lookback standard deviation. It can plot the result as an area or transform open, high, low, and close into z-score candles.…
Range Volume Change accumulates traded volume during a user-selected time window and compares it with the volume recorded in the same window on the previous day. The default window is premarket, but the session input lets users examine another interval.…
The Intraday Spark Chart plots an asset’s percentage change from its daily opening price as an intraday line and filled area. It uses green when price is above the open and red when below, with a zero baseline, day separators, daily-open labels, and session…
This TradingView indicator turns dominance series for Bitcoin, Ether, several other major cryptocurrencies, a broader-alternative group, and Tether into a pie-chart-style display. It retrieves each series, accumulates their values, and uses the resulting…
This long-only strategy scores a potential squeeze setup using relative volume, the latest close-to-close price change, alignment between short and intermediate exponential averages, price relative to the short average, Bollinger Band width, and five-bar…
This indicator is a configurable framework for charting and combining technical oscillators. Users can select up to two built-in oscillators and optionally add an external one; their normalized weights can be combined, with relative volume optionally…
This strategy takes long or short positions when momentum is positive or negative. Its momentum signal can use either a longer lookback reading or a one-bar change, and entries can require agreement between two momentum measures or use only one. An optional…
This document shows how to add a calendar-based return table to a TradingView strategy. It derives each bar’s equity return from consecutive strategy equity values, compounds those returns within the current month and year, and stores completed period…