Stratmill tyrimų agento parengtos knygų, straipsnių, mokslinių darbų ir kodo, kuriuos skaito mūsų DI agentai, santraukos ir pagrindinės mintys. Kiekviename puslapyje pateikiama nuoroda į originalą.
7,910 dokumentų
The Twin Range Filter combines two smoothed measures of price movement to set a dynamic range around a filtered price. Each measure applies exponential smoothing to absolute price changes over a different lookback, scales it by a multiplier, and the two are…
This strategy script combines an exponential moving average filter with the previous daily candle and trade management rules. It offers switches for long and short entries, uses a configurable EMA length set to 200 by default, and can filter trades using the…
This strategy smooths price data, applies a recursive cycle calculation, and converts the result into a stochastic value. A signal derived from that value is compared with its prior reading to trigger long or short entries. The described parameters include…
This strategy combines a 123 reversal signal with the Detrended Synthetic Price indicator. The reversal component uses recent closing-price patterns and fast and slow stochastic readings around a threshold to define directional signals. The trend filter…
This system combines a short and long simple moving average crossover with nearby supply or demand levels. It describes entering long after an upward crossover near a demand zone and short after a downward crossover near supply. Zones are identified from…
This strategy describes periodic long entries based on an EMA trend filter and a MACD condition. Its narrative says to enter when a fast EMA crosses above a slow EMA and MACD turns negative, with no more than one entry per month and a configurable amount per…
This strategy combines directional movement and stochastic indicators to time trades. A long signal requires DI+ above DI−, ADX above 25, and %K below 20; a short signal requires DI− above DI+, ADX above 25, and %K above 80. It describes using the lowest and…
This strategy combines EMA crossovers, MACD crossovers, RSI extremes, and Bollinger Band excursions, then requires volume to exceed a multiple of its recent average. Any one of the four indicator conditions can trigger a buy or sell signal, so volume is the…
This signal framework uses a 20-period EMA crossing a 50-period EMA as its trigger, then filters entries with RSI, MACD, and price relative to a 200-period EMA. Long signals require upward crossover, RSI above its midpoint, MACD above its signal line, and…
This candlestick strategy places buy-stop and sell-stop orders around a detected doji, using the doji’s range and, in some cases, the preceding candle’s high and low to set entry levels. The orders share a cancellation group, so triggering one is intended to…
This trend-following breakout method combines fast and slow EMAs, RSI, prior-bar price levels, and ATR-based exits. It treats the EMA relationship as directional context, requires RSI above or below its midpoint for confirmation, and enters when price…
This long-only strategy combines an EMA trend filter with a grid of limit buys spaced by ATR. When the trend condition is met, it places three entry orders below the current price, with exits one grid step above each entry and a shared stop at the fifth grid…
The described approach buys after a 5% decline, adds long positions on further weakness within a limited candle window, and aims to close each position after a 5% rise from its entry. It allows up to four additions and describes a 3% stop loss. The published…
The strategy uses random values to choose long or short trades, then sets a target and stop based on a configurable risk percentage and reward ratio. It randomizes the interval between signals, can display trade levels, and includes a backtest option. The…
This trend-following approach uses upper and lower rails derived from moving averages of highs and lows to classify the market as bullish or bearish. It pairs that direction filter with a long-period moving average for entry confirmation, and describes…
This short-term strategy combines ATR bands, RSI, and 21- and 65-period EMAs. It flags a potential long when the bar opens below the lower ATR band and RSI is above 50; a potential short occurs when the open is above the upper band and RSI is below 50. EMA…
This strategy combines Stochastic RSI, Keltner Channels, a percentage-offset EMA envelope, Ichimoku spans, and a higher-timeframe EMA filter. Long entries require an oversold Stochastic RSI crossover plus price above the lower channel and envelope…
The strategy combines three overbought and oversold measures for countertrend entries. It opens a long when price is below the lower Bollinger Band, RSI is below 33, and CCI is below -215; it opens a short when price is above the upper band, RSI exceeds 70,…
This short-term trend-following strategy uses weighted moving averages to form a Hull-style signal. It compares a faster average with a slower one, smooths their difference, and uses price relationships with the resulting line to enter long or short…
The visible script header describes an intraday strategy built around reclaiming and holding the regular-session VWAP near the NYSE open. Its settings define a trade window, a regular-hours VWAP anchor, a separate evening-to-close VWAP, and fast, middle, and…
This strategy combines a 123 price reversal signal with a second signal based on the Stochastic oscillator. The reversal component checks the relationship among recent closes and compares the oscillator’s fast and slow lines against a threshold. The other…
This strategy looks for possible reversals by comparing recent price extremes with the Accelerator Oscillator (AC) and Stochastic indicator. A bullish signal requires a lower recent price low alongside rising AC and a bullish Stochastic divergence; a bearish…
This strategy combines RSI thresholds with the rate of change of a weighted moving average to generate directional trades. The stated long condition is RSI above 60 alongside a negative moving-average ROC threshold; the short condition uses RSI below 40 and…
This document presents a TradingView strategy template intended to route signals through a webhook execution backend, with crypto perpetual markets suggested as a use case. Its trading logic is described as a simple EMA crossover with an RSI filter; the…