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Chart patterns

50, 100 & 200 Week MA (SMA/EMA Switch)Clean, multi-timeframe weekly moving average indicator displaying the classic 50, 100, and 200-week MAs directly on any chart timeframe. Features: True weekly calculations using request.security (accurate, no daily approximation) Switch between SMA and EMA with one click Individually toggle each MA (50w orange, 100w purple, 200w blue) Perfect for long-term trend analysis, golden/death crosses, and institutional-level support/resistance Ideal for swing traders, investors, and anyone tracking major market cycles. Lightweight and repaints-free.
Pine Script® indicator
by Cryptonologic
KIRA INVESTORS📈 KIRA MOMENTUM STRATEGY – BUY & SELL Title: KIRA EMA 9–21 + VWAP 🟢 BUY RULE EMA 9 crosses above EMA 21 Price closes above VWAP 🔴 SELL RULE EMA 9 crosses below EMA 21 Price closes below VWAP 🚫 NO TRADE ZONE EMAs tangled Price chopping near VWAP 🎯 TIMEFRAMES & RISK TF: 5–15 min Stop-loss: Swing high / low Risk ≤ 1% per trade 💡 WHY IT WORKS EMA crossover → Trend direction VWAP → Confirms institutional bias Only trades strong momentum moves
Pine Script® indicator
by kirainvestors
Michael 13/100 SMA Crossover (Time Filtered)This indicator plots a simple moving average (SMA) crossover system using a 13-period SMA and a 100-period SMA. A Buy signal appears when the 13-period SMA crosses above the 100-period SMA, and a Sell signal appears when the 13-period SMA crosses below the 100-period SMA. Signals are restricted to a specific active trading window between 08:00 and 17:00 GMT, helping to reduce noise during off-hours or low-liquidity periods. The moving averages themselves remain visible at all times, but Buy/Sell markers only appear when a crossover occurs during the defined session. This tool helps traders identify trend shifts, momentum changes, and potential entry/exit points while avoiding signals during quieter market conditions.
Pine Script® indicator
by moubarakghislain3
inyerneck Diaper Sniper v16 — LOW VOL V CATCHERDiaper Sniper v16 — Low-Vol Reversal Hunter Catches dead-cat bounces and V-shaped reversals on the day’s biggest losers. Designed for pennies and trash stocks that drop 6 %+ from recent high and snap back on any volume + green candle. Features: • Tiny green “D” = reversal signal • Works on 1m → daily • Fully adjustable filters Best on low-float runners that bleed hard and bounce harder. Use tiny size — it fires a lot. Public version — code visible. No invite-only on Essential plan. do not alter settings with out first recording defaults.. defaults are quite effective 2025 build. Test at your own risk.
Pine Script® strategy
by oogabooger
2-Close + Bar 5 Reversal (Scan Ready)Bulkowski's Bullish 2-Step Reversal Bar 1 Any price bar. Bar 2 Price makes a low below bar 1 with a lower close, too. Bar 3 Price has a low below bar 2 but a close above bar 1 (which will also be above bar 2's close). Bars 1 to 3 form a 2-close reversal pattern. Bar 4 Makes a close below bar 3's close. Bar 5 Has a low below bar 4 but closes above bars 3 and 4. Breakout Breaks out upward 79% of the time in stocks. From his page: thepatternsite.com
Pine Script® indicator
by toppermost
Session Markers - JDK AnalysisSession Markers is a tool designed to study how markets behave during specific, recurring time windows. Many traders know that price behaves differently depending on the day of the week, the time of the day, or particular market sessions such as the weekly open, the London session, or the New York open. This indicator makes those recurring windows visible on the chart and then analyzes what price typically does inside them. The result is a clear statistical understanding of how a chosen session behaves, both in direction and in strength. The script works by allowing the trader to define any time window using a start day and time and an end day and time. Every time this window occurs on the chart, the indicator highlights it with a full-height vertical band. These visual markers reveal patterns that are otherwise difficult to detect manually, such as whether certain sessions tend to trend, reverse, consolidate, or create large imbalances. They also help the trader quickly scan through historical price action to see how the market has behaved under similar conditions. For every completed session window, the indicator measures how much price changed from the moment the window began to the moment it ended. Instead of using raw price differences, it converts these changes into percentage moves. This makes the measurement consistent across different price ranges and market regimes. A one-percent move always has the same meaning, whether the asset is trading at 100 or 50,000. These percentage moves are collected for a user-selected number of past sessions, creating a dataset of how the market has behaved in the chosen time window. Based on this dataset, the indicator generates several statistics. It counts how many past sessions closed higher and how many closed lower, producing a directional tendency. It also computes the probability of an upward session by dividing the number of positive sessions by the total. More importantly, it calculates the average percentage movement for all sessions in the lookback period. This average move reflects not just the direction but also the magnitude of price changes. A session with frequent small upward moves but occasional large downward moves will show a negative average movement, even if more sessions ended positive. This creates a more realistic representation of true market behavior. Using this average movement, the script determines a “Bias” for the session. If the average percentage move is positive, the bias is considered bullish. If it is negative, the bias is bearish. If the values are very close to zero, the bias is neutral. This way, the indicator takes both frequency and impact into account, producing a magnitude-aware assessment instead of one that only counts wins and losses. A sequence such as +5%, –1% results in a bullish bias because the overall impact is strongly positive. On the other hand, a series of small gains followed by a large drop produces a bearish bias even if more sessions ended positive, because the large move dominates the average. This provides a far more truthful picture of what the market tends to do during the chosen window. All relevant statistics are displayed neatly in a small panel in the top-right corner of the chart. The panel updates in real time as new sessions complete and older ones fall out of the lookback range. It shows how many sessions were analyzed, how many ended up or down, the probability of an upward move, the average percentage change, and the final bias. The background color of the panel instantly reflects that bias, making it easy to interpret at a glance. To use the tool effectively, the trader simply needs to define a time window of interest. This could be something like the weekly opening window from Sunday to Monday, the London open each day, or even a unique custom window. After selecting how many past sessions to analyze, the indicator takes care of the rest. The vertical session markers reveal the structure visually. The statistics summarize the historical behavior objectively. The magnitude-weighted bias provides a realistic indication of whether the window tends to produce upward or downward movement on average. Session Markers is helpful because it translates repeated market timing behavior into measurable data. It exposes hidden tendencies that are easy to feel intuitively but hard to quantify manually. By analyzing both direction and magnitude, it prevents misleading interpretations that can arise from looking only at win rates. It helps traders understand whether a session typically produces meaningful moves or just small noise, whether it tends to trend or reverse, and whether its behavior has recently changed. Whether used for bias building, session filtering, or deeper market research, it offers a structured framework for understanding the market through time-based patterns.
Pine Script® indicator
by JDK-Analysis
Grok/Claude Turtle Trend Pro Strategy Turtle Trend Pro Strategy: A Modern Implementation of the Legendary Turtle Trading System Historical Background: The Original Turtle Experiment In 1983, legendary commodities trader Richard Dennis made a bet with his partner William Eckhardt: could successful trading be taught, or was it an innate skill? To settle the debate, Dennis recruited and trained a group of novices—whom he called "Turtles" (inspired by turtle farms he'd visited in Singapore)—teaching them a complete mechanical trading system. The results were remarkable: over the next four years, the Turtles reportedly earned over $175 million, proving that systematic, rule-based trading could be taught and replicated. The strategy you've shared is a faithful modern adaptation of those original Turtle rules, enhanced with contemporary technical filters. Core Turtle Principles Preserved in This Strategy 1. Donchian Channel Breakouts (The Heart of Turtle Trading) The original Turtles used Donchian Channels—a simple concept where you track the highest high and lowest low over a specific lookback period. This strategy implements both original Turtle systems: System 1 (Default): 20-period entry breakout, 15-period exit System 2 (Optional): 55-period entry breakout, 20-period exit The logic is elegantly simple: Go long when price breaks above the highest high of the last 20 (or 55) periods Go short when price breaks below the lowest low of the last 20 (or 55) periods This captures the Turtle philosophy of trend-following through momentum breakouts—the idea that markets trending strongly in one direction tend to continue. 2. ATR-Based Position Sizing and Stops The Turtles were pioneers in using Average True Range (ATR) for risk management. This strategy preserves that approach: Stop Loss: Set at 2× ATR from entry (the original Turtle rule) ATR Period : 20 days (matching the original) The ATR stop adapts to market volatility—wider stops in volatile markets, tighter stops in calm ones—preventing premature exits while still protecting capital. 3. Opposite Channel Exit Rather than using arbitrary profit targets, the Turtles exited positions when price broke the opposite channel: Exit longs when price breaks below the 15-period (or 20-period) low Exit shorts when price breaks above the 15-period (or 20-period) high This allows winning trades to run while providing a systematic exit that doesn't rely on prediction. Modern Enhancements Beyond the Original System While the core mechanics remain true to 1983, this strategy adds sophisticated filters the original Turtles didn't have access to: Trend Filter (200 EMA) Only takes long trades when price is above the 200-period moving average (and the MA is sloping up), and vice versa for shorts. This aligns trades with the major trend, reducing whipsaws in choppy markets. Set of off by default and fully adjustable in settings. ADX Filter (Trend Strength) The Average Directional Index ensures trades are only taken when the market is actually trending (ADX > 20 threshold). The original Turtles suffered significant drawdowns in ranging markets—this filter addresses that weakness. Optional RSI Filter Adds overbought/oversold confirmation to entries, though this is disabled by default to stay closer to the original system. Volume Confirmation Optional requirement for volume surges on breakouts, adding conviction to signals. The Strategy's Risk Management Framework Parameter Setting Turtle Origin Position Size 10% of equity. Turtles used volatility-adjusted sizing. Stop Loss2× ATR. Original Turtle rule Commission 0.075%. Modern crypto exchange rate. Pyramiding Disabled. Turtles did pyramid, but simplified here. Visual Elements and Regime Detection The strategy includes a "Neural Fusion Pro" styled display that would make the original Turtles jealous: Color-coded Donchian Channels: Green (bullish), Red (bearish), Yellow (neutral) Trend Strength Meter: Combines ADX, price vs. MA distance, channel position, and DI spread Regime Classification : Automatically identifies Bull, Bear, or Neutral market conditions Information Panel: Real-time display of all key metrics Why Turtle Trading Still Works The genius of the Turtle system lies in its mechanical discipline. It removes emotion from trading by providing explicit rules for: What to trade (anything with sufficient liquidity and volatility) When to enter (channel breakouts) How much to trade (volatility-adjusted position sizing) When to exit (opposite breakout or ATR stop) This strategy faithfully preserves that mechanical approach while adding modern filters to improve the win rate in today's markets.
Pine Script® strategy
by ralis24
Kira EMA9 EMA21 VWAP ZONES//@version=5 indicator("Kira EMA9 EMA21 VWAP ZONES", overlay=true) // === EMAs === ema9 = ta.ema(close, 9) ema21 = ta.ema(close, 21) // === VWAP === vwapLine = ta.vwap(hlc3) // === CONDITIONS === isBuy = ema9 > ema21 and close > vwapLine isSell = ema9 < ema21 and close < vwapLine noTrade = not isBuy and not isSell // === PLOTS === plot(ema9, color=color.green, linewidth=2) plot(ema21, color=color.red, linewidth=2) plot(vwapLine, color=color.blue, linewidth=2) // === BACKGROUND ZONES === bgcolor(isBuy ? color.new(color.green, 85) : isSell ? color.new(color.red, 85) : color.new(color.gray, 85)) // === BUY / SELL ARROWS EVERY BAR === plotshape(isBuy, title="BUY", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.tiny) plotshape(isSell, title="SELL", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny) // === ALERTS === alertcondition(isBuy, title="BUY ZONE ACTIVE", message="BUY zone active on {{ticker}}") alertcondition(isSell, title="SELL ZONE ACTIVE", message="SELL zone active on {{ticker}}")
Pine Script® indicator
by kirainvestors