Gelombang Elliott — Penunjuk dan Strategi

ATR ZigZag Breakout ATR ZigZag Breakout This strategy uses my ATR ZigZag indicator (powered by the ZigZagCore library) to scalp breakouts at volatility-filtered highs and lows. Everyone knows stops cluster around clear swing highs and lows. Breakout traders often pile in there, too. These levels are predictable areas where aggressive orders hit the tape. The idea here is simple: → Let ATR ZigZag define clean, volatility-filtered pivots → Arm a stop market order at those pivots → Join the breakout when the crowd hits the level The key to greater success in this simple strategy lies in the ZigZag. Because the pivots are filtered by ATR instead of fixed bar counts or fractals, the levels tend to be more meaningful and less noisy. This approach is especially suited for intraday trading on volatile instruments (e.g., NQ, GC, liquid crypto pairs). How It Works 1. Pivot detection The ATR ZigZag uses an ATR-based threshold to confirm swing highs and lows. Only when price has moved far enough in the opposite direction does a pivot become “official.” 2. Candidate breakout level When a new swing direction is detected and the most recent high/low has not yet been broken in the current leg, the strategy arms a stop market order at that pivot. • Long candidate → most recent swing high • Short candidate → most recent swing low These “candidate trades” are shown as dotted lines. 3. Entry, SL, and TP If price breaks through the level, the stop order is filled and a bracket is placed: • Stop loss = ATR × SL multiplier • Take profit = SL distance × RR multiplier Once a level has traded, it is not reused in the same swing leg. 4. Cancel & rotate If the market reverses and forms a new swing in the opposite direction before the level is hit, the pending order is cancelled and a new candidate is considered in the new direction. Additional Features • Optional session filter for backtesting specific trading hours

Quasimodo Pattern Strategy Back Test [TradingFinder] QM Trading 🔵 Introduction The QM pattern, also known as the Quasimodo pattern, is one of the popular patterns in price action, and it is often used by technical analysts. The QM pattern is used to identify trend reversals and provides a very good risk-to-reward ratio. One of the advantages of the QM pattern is its high frequency and visibility in charts. Additionally, due to its strength, it is highly profitable, and as mentioned, its risk-to-reward ratio is very good. The QM pattern is highly popular among traders in supply and demand, and traders also use this pattern. The Price Action QM pattern, like other Price Action patterns, has two types: Bullish QM and Bearish QM patterns. To identify this pattern, you need to be familiar with its types to recognize it. 🔵 Identifying the QM Pattern 🟣 Bullish QM In the bullish QM pattern, as you can see in the image below, an LL and HH are formed. As you can see, the neckline is marked as a dashed line. When the price reaches this range, it will start its upward movement. 🟣 Bearish QM The Price Action QM pattern also has a bearish pattern. As you can see in the image below, initially, an HH and LL are formed. The neckline in this image is the dashed line, and when the LL is formed, the price reaches this neckline. However, it cannot pass it, and the downward trend resumes. 🔵 How to Use The Quasimodo pattern is one of the clearest structures used to identify market reversals. It is built around the concept of a structural break followed by a pullback into an area of trapped liquidity. Instead of relying on lagging indicators, this pattern focuses purely on price action and how the market reacts after exhausting one side of liquidity. When understood correctly, it provides traders with precise entry points at the transition between trend phases. 🟣 Bullish Quasimodo A bullish Quasimodo forms after a clear downtrend when sellers start losing control. The market continues to make lower lows until a sudden higher high appears, signaling that buyers are entering with strength. Price then pulls back to retest the previous low, creating what is known as the Quasimodo low. This area often becomes the final trap for sellers before the market shifts upward. A visible rejection or displacement from this zone confirms bullish momentum. Traders usually place entries near this level, stops below the low, and targets at previous highs or the next resistance zone. Combining the setup with demand zones or Fair Value Gaps increases its accuracy. 🟣 Bearish Quasimodo A bearish Quasimodo forms near the top of an uptrend when buyers begin to lose strength. The market continues to make higher highs until a sudden lower low breaks the bullish structure, showing that selling pressure is entering the market. Price then retraces upward to retest the previous high, forming the Quasimodo high, where breakout buyers are often trapped. Once rejection appears at this level, it indicates a likely reversal. Traders can enter short near this area, with stop-losses placed above the high and targets near the next support or previous lows. The setup gains more reliability when aligned with supply zones, SMT divergence, or bearish Fair Value Gaps. 🔵 Setting Pivot Period : You can use this parameter to use your desired period to identify the QM pattern. By default, this parameter is set to the number 5. Take Profit Mode : You can choose your desired Take Profit in three ways. Based on the logic of the QM strategy, you can select two Take Profit levels, TP1 and TP2. You can also choose your take profit based on the Reward to Risk ratio. You must enter your desired R/R in the Reward to Risk Ratio parameter. Stop Loss Refine : The loss limit of the QM strategy is based on its logic on the Head pattern. You can refine it using the ATR Refine option to prevent Stop Hunt. You can enter your desired coefficient in the Stop Loss ATR Adjustment Coefficient parameter. Reward to Risk Ratio : If you set Take Profit Mode to R/R, you must enter your desired R/R here. For example, if your loss limit is 10 pips and you set R/R to 2, your take profit will be reached when the price is 20 pips away from your entry point. Stop Loss ATR Adjustment Coefficient : If you set Stop Loss Refine to ATR Refine, you must adjust your loss limit coefficient here. For example, if your buy position's loss limit is at the price of 1000, and your ATR is 10, if you set Stop Loss ATR Adjustment Coefficient to 2, your loss limit will be at the price of 980. Entry Level Validity : Determines how long the Entry level remains valid. The higher the level, the longer the entry level will remain valid. By default it is 2 and it can be set between 2 and 15. 🔵 Results The following examples show the backtest results of the Quasimodo (QM) strategy in action. Each image is based on specific settings for the symbol, timeframe, and input parameters, illustrating how the QM logic can generate signals under different market conditions. The detailed configuration for each backtest is also displayed on the image. ⚠ Important Note : Even with identical settings and the same symbol, results may vary slightly across different brokers due to data feed variations and pricing differences. Default Properties of Backtests : OANDA:XAUUSD | TimeFrame: 5min | Duration: 1 Year : BINANCE:BTCUSD | TimeFrame: 5min | Duration: 1 Year : CAPITALCOM:US30 | TimeFrame: 5min | Duration: 1 Year : NASDAQ:QQQ | TimeFrame: 5min | Duration: 5 Year : OANDA:EURUSD | TimeFrame: 5min | Duration: 5 Year : PEPPERSTONE:US500 | TimeFrame: 5min | Duration: 5 Year :

Davin's 10/200MA Pullback on SPY Strategy v2.0 Strategy: Using 10 and 200 Simple moving averages, we capitalize on price pullbacks on a general uptrend to scalp 1 - 5% rebounds. 200 MA is used as a general indicator for bullish sentiment, 10 MA is used to identify pullbacks in the short term for buy entries. An optional bonus: market crash of 20% from 52 days high is regarded as a buy the dip signal. An optional bonus: can choose to exit on MA crossovers using 200 MA as reference MA (etc. Hard stop on 50 cross 200) Recommended Ticker: SPY 1D (I have so far tested on SPY and other big indexes only, other stocks appear to be too volatile to use the same short period SMA parameters effectively) + AAPL 4H How it works: Buy condition is when: - Price closes above 200 SMA - Price closes below 10 SMA - Price dumps at least 20% (additional bonus contrarian buy the dip option) Entry is on the next opening market day the day after the buy condition candle was fulfilled. Sell Condition is when: - Prices closes below 10 SMA - Hard stop at 15% drawdown from entry price (adjustable parameter) - Hard stop at medium term and long term MA crossovers (adjustable parameters) So far this strategy has been pretty effective for me, feel free to try it out and let me know in the comments how you found :) Feel free to suggest new strategy ideas for discussion and indicator building

Intraday Grid trading example Hello everyone, This was a grid trading example for intraday trading. Please be advised that every commodity have diferent kind of reaction and rate of change between periods therefore the percentages need to be adjusted acording to the commodities change %. In order to specify the adjustment rate we add the Zig Zag in the script. For Example ; Last 3 days zigzag high points are %25 , %13 and %8 , the average %is about %9 therefore you have to put the adjustment ratios something like; Z%1 = %3 Z%2 = %6 Z%3 = %9 Feel free to use the script with caution( it was not a investment advice), this was only a example of grid trading strategy on our trading platform. Regards.

Easy System 420 In this strategy, 15 indicators are used, each giving its results as a numerical value, which then is added or subtracted from the total points, gathered from all 15 indicators. Many thanks to RafaelZioni for his great work making the EasySys1 script which i modified to create this script. Onchart is drawn some of the indicators, but not all, a info panel is drawn showing the value each indicator has calculated. The info panel can be turned on or off. Many of the indicator settings can be changed by user, and this is recommended, to tune the strategy to users chosen pair/timeframe. Therefore any pair or timeframe can be used, the strategy tester results showing possible results, remember to set commission to match your broker. example chart settings here have common crypto exchange commission value: 0.25% indicator list : SAR + STT + ZigZag + ROC + DMI + CCI + Weis + SMA + AO + MOM + Hist + BB + Ichimoku + HMA

BEST Trend Direction Helper (Strategy Edition)Hello traders A follower asked me to convert my Trend Direction Helper into a strategy So blessed this indicator reached the 1400+ likes milestone - I can't believe how many people are trading with it I based the setup as follow: - Entries on those green/red labels - exit whenever a Simple Moving Averages cross in the opposite direction happen - possibility to filter only Longs/Shorts or both Also... The strategy includes the Zig Zag/Pivots high/low and other options from the indicator version. I only added a quick strategy component with a hard exit concept based on SMA cross All the best fam and... HAPPY NEW YEAR !!!!!!!!!!! Dave

Elliott strategy It uses Elliott teory to shift two moving averages 8 positions (based on 5-3 fractal), and the crossing is close to reversions. And it keeps an eye on RSI level to be sure it is on hot level to sell/buy

[STRATEGY][RS]ZigZag PA Strategy V4.1 EXPERIMENTAL: WARNING: this strategy repaints after reloading and results are heavily curve fitted, use at your own discretion. UPDATE: (AleksanderThor) add option for a 2nd target, to use you need to activate pyramiding with a setting of 1 manually (not possible to change programatically) .

[STRATEGY][RS]ZigZag PA Strategy V4 EXPERIMENTAL: WARNING: highly curve fitted results, if you dont know whats going on stay away.