BTC 2024 Toolkit (MAs, BB, Niveles, Eventos)Main uptrend following the March 2024 ATH; correction in April (before/after the halving) and capitulation in August with a rebound.
Key zones drawn in the script: 73–74k (resistance/ceiling), 68–70k, and 64.2k/61.3k/58.4k (pullbacks), plus 49–53k (August floor).
The 50/100/200 MAs are sloping upward at the yearly close; Bollinger Bands are free of prolonged excesses.
Bias: Bullish, buy on pullbacks/pullbacks.
Entry A (breakout throwback): Wait for a breakout and a pullback that respects 73–74k as new support.
Entry B (range pullback): Staggered buys at 68–70k and, if there is further weakness, at 64–65k.
Invalidation/Stop: Daily close < 59–60k (loss of range/structure).
Targets:
TP1: 92–95k (natural post-breakout extension).
TP2: 100k+ if MAs remain upward and momentum holds.
Rationale: The 73–74k level is the "pivot" for the year; buying the pullback to that area (or to 68–70k) offers a better risk/reward than chasing the price. The stop below 60k limits exposure if the breakout fails.
圖表形態
EMA+RSI Buy/Sell with Fibonacci GuideSingle-Instance EUR/USD & GBP/USD Trend+MACD ATR EA
Purpose:
This EA is designed for automated Forex trading on EUR/USD and GBP/USD. It identifies trend-based trading opportunities, dynamically calculates position sizes based on your available capital and risk percentage, and manages trades with ATR-based stop-loss and take-profit levels, including optional trailing stops.
Key Features:
Auto Pair Selection:
Compares the trend strength of EUR/USD vs GBP/USD using a combination of EMA slopes and MACD direction.
Automatically trades the stronger trending pair.
Trend & Signal Detection:
Uses Fast EMA / Slow EMA crossover for trend direction.
Confirms trend with MACD line vs signal line.
Generates long and short signals only when trend and MACD align.
Dynamic SL/TP:
Stop-loss and take-profit are calculated based on ATR (Average True Range).
Supports optional trailing stops to lock in profits.
Position Sizing:
Automatically calculates micro-lot sizes based on your capital and risk percentage.
Ensures risk per trade does not exceed the defined % of your account equity.
Chart Visualization:
Plots Fast EMA / Slow EMA.
Displays SL and TP levels on the chart.
Shows a label indicating the active pair currently being traded.
Alerts:
Generates alerts for long and short signals.
Can be used with TradingView alerts to notify or trigger webhooks.
Single Strategy Instance:
Fully compatible with Pine Script v6.
Only one strategy instance runs on the chart to prevent “too many strategies” errors.
Combined Signal EMA + HHV-ATR Trail (Srinu)Green “BUY: ” below bars.
Red “SELL: ” above bars.
Alerts also include the triggered close price.
MMAMMA (Midpoint Moving Average)
Similar to SMA but calculated using (High + Low) / 2 instead of Close.
Helps reduce noise by smoothing out candlestick wicks.
Useful for identifying trend direction, support/resistance, and combining with other indicators.
Moving averages applied: 5, 10, 20, 50, 100, 200
Short-term: 5, 10, 20 → captures quick price action
Mid-term: 50, 100 → identifies medium trend
Long-term: 200 → widely used global trend benchmark
Color Scheme (Red → Orange → Yellow → Green → Blue → Navy)
Red: 5 / Orange: 10 / Yellow: 20 / Green: 50 / Blue: 100 / Navy: 200
Transparency: 50% → keeps chart clean when lines overlap
Line Thickness: 1 → minimal, non-intrusive visual
ColorSMAColorSMA Indicator – Description & Usage Guide
Overview
The ColorSMA indicator is a dynamic trend-following moving average designed to adapt to volatility and provide clearer visual cues for traders. Unlike a standard simple moving average (SMA), this tool applies a volatility filter using a standard deviation channel and then smooths the price before calculating the moving average.
The result is a single line on the chart that changes color depending on its trend direction:
Blue (Uptrend) – The moving average is rising compared to the previous bar.
Red (Downtrend) – The moving average is falling compared to the previous bar.
This visual coloring makes it easier to spot the trend direction at a glance.
How It Works
Baseline SMA
The script first calculates a classic SMA based on the selected Length (default = 9).
This baseline acts as the foundation of the indicator.
Volatility Filter (SD Channel)
A standard deviation multiplier is applied to create an upper and lower channel around the SMA.
If price moves outside this channel, it gets “clamped” back within the channel range.
This reduces noise and prevents false signals in highly volatile conditions.
Smoothed Price (Extra Smooth)
The filtered price is then smoothed with another SMA (default = 3).
This step makes the line cleaner and easier to interpret.
Trend Coloring
If the current smoothed SMA is higher than its previous value → the line is Blue.
If it is lower → the line is Red .
This simple but effective color-coding highlights trend shifts without cluttering the chart.
Inputs & Settings
Source: The price source used in the calculation (default = close).
Length: The SMA period length (default = 9).
Extra Smooth : Additional smoothing for the final line (default = 3). Lower values make it more responsive, higher values make it smoother.
Width (Volatility Filter – SD Channel): The multiplier applied to the standard deviation. Controls how wide the channel is (default = 0.3).
Length (Volatility Filter – SD Channel): The period for calculating standard deviation (default = 1).
What You See on the Chart
A single moving average line that changes color:
Blue (Up) = trend strength or bullish direction.
Red (Down) = trend weakness or bearish direction.
The line itself is already filtered through a volatility channel and smoothing, so it reacts to market conditions while reducing noise.
How to Use It
Trend Identification
Use the color changes (Blue/Red) to quickly identify short-term trend shifts.
Blue phases suggest bullish bias, Red phases suggest bearish bias.
Entry/Exit Guidance
Traders can align entries with the trend color (e.g., buy when it turns Blue, sell/short when it turns Red).
Combine with price action or other indicators for confirmation.
Volatility Filtering
Adjust the Width and SD Length parameters to tune how sensitive the indicator is to price fluctuations. Narrower channels give more signals; wider channels filter out more noise.
Smoothing Control
If you prefer faster reactions, lower the smoothing value.
If you want steadier signals, increase smoothing.
Summary
The ColorSMA is a visually enhanced moving average that adapts to volatility and simplifies trend detection. It is especially useful for traders who prefer:
Clean charts with minimal clutter.
Clear, color-coded signals for trend direction.
Flexibility to adjust responsiveness via smoothing and channel width.
This indicator is best used as a trend confirmation tool or combined with other strategies such as support/resistance, candlestick patterns, or oscillators for robust trade setups.
MACD Split (Top/Bottom)📘 Script Explanation – MACD Split (Top/Bottom)
Purpose
Splits MACD into two separate panels for better visibility:
Top panel → MACD line (orange) & Signal line (black)
Bottom panel → Histogram (colored line) & Histogram EMA (black)
Color Rules for Histogram
Above 0 & Rising → Light Green
Above 0 & Falling → Dark Green
Below 0 & Falling → Dark Red
Below 0 & Rising → Light Red
Histogram EMA → Black
Zero Line
A gray dashed baseline is drawn at 0 for reference.
How to Use
Add the indicator twice.
Set the first one’s Mode = Top.
Set the second one’s Mode = Bottom.
Save as a template → next time, both panels load together.
MACD Split (Top/Bottom)MACD Split Indicator Explanation
This script separates the MACD into two clean panels:
Top Panel (Mode = Top)
Plots the MACD line and the Signal line.
Used to analyze crossovers and trend direction.
Bottom Panel (Mode = Bottom)
Plots the Histogram (MACD – Signal) and its EMA smoothing.
Used to analyze momentum strength and early shifts.
You can load the same indicator twice:
Set one to Top mode → shows only MACD & Signal lines.
Set the other to Bottom mode → shows only Histogram & EMA.
This way, you get a clear split view without overlapping everything in one chart.
DEV (%)Deviation from MMA5 (%)
- MMA = (High + Low) / 2
- Calculates 5-day SMA of MMA (MMA5)
- Plots deviation (%) of current Mid Price from MMA5
- Above 0% → price above MMA5
- Below 0% → price below MMA5
macd + stochastic cryptosmart## macd + stochastic cryptosmart
This indicator is a technical analysis tool designed to find high-probability trading signals by merging two of the most powerful oscillators: the MACD and the Stochastic.
The core strategy is not just to use each indicator separately, but to identify moments of confluence, where both send the same message. When a momentum signal from the MACD occurs while the Stochastic is in an extreme zone, the probability of a strong, sustained move increases significantly.
## The Confluence Logic: The Core Strategy ✨
The power of this indicator lies in the confirmation of signals. Instead of acting on a single clue, you wait for two experts to give you the same recommendation.
📈 High-Probability Buy Signal (Bullish Confluence)
A buy signal is considered especially strong when the following two conditions occur at nearly the same time:
Stochastic at an Extreme: The Stochastic oscillator is in the oversold zone (typically below 20), indicating that selling pressure may be exhausted and the price is "cheap."
MACD Crossover: The MACD line crosses above its signal line (a bullish crossover). This confirms that the market's momentum is beginning to shift in favor of the buyers.
The logic is: The Stochastic tells you when the market is ready for a potential bounce, and the MACD crossover gives you the confirmation that the bounce is starting with force.
📉 High-Probability Sell Signal (Bearish Confluence)
A high-quality sell signal occurs when:
Stochastic at an Extreme: The Stochastic is in the overbought zone (above 80), suggesting the asset may be overvalued and ready for a correction.
MACD Crossover: The MACD line crosses below its signal line (a bearish crossover). This confirms that momentum is turning negative.
The logic is: The Stochastic alerts you to a potential price "bubble," and the MACD crossover confirms that the bubble is beginning to deflate.
## Key Features
MACD Normalization: To make comparison easier, the indicator can normalize the MACD to the same 0-100 scale as the Stochastic. This allows you to view both oscillators in a similar context.
Smart Visualization:
The indicator's background changes color depending on whether the Stochastic is in an overbought, oversold, or neutral zone.
The "shadow" between the MACD lines is colored green or red to show you at a glance whether momentum is bullish or bearish.
In summary, this indicator doesn't reinvent the MACD or the Stochastic but integrates them in a smart, visual way so you can apply a confluence strategy more effectively, filtering out weak signals and focusing on those with the highest probability of success.
VIX Price BoxVIX Price Box (Customizable Colors)
This indicator displays the current VIX (CBOE Volatility Index) value in a fixed box on the top-right corner of the chart. It’s designed to give traders a quick, at-a-glance view of market volatility without needing to switch tickers.
Features
Pulls the live VIX price and updates automatically on every bar.
Displays the value inside a table box that stays fixed in the top-right corner.
Threshold-based coloring: the text color changes depending on whether the VIX is below, between, or above your chosen threshold levels.
5 built-in color modes:
Custom mode – choose your own colors for low, medium, and high volatility zones.
Adjustable threshold levels, background color, and frame color.
Use Cases
Monitor overall market risk sentiment while trading other instruments.
Identify periods of low vs. high volatility at a glance.
Pair with strategies that rely on volatility (options trading, hedging, breakout setups, etc.).
macd color bar cryptosmartDescription
The MACD Color Bar CryptoSmart indicator is a visual trading tool designed to help traders quickly identify trend changes by coloring the chart's price bars based on MACD (Moving Average Convergence Divergence) signals.
Instead of looking down at the MACD panel, you can see the trend's momentum directly on your price chart, making it easier to spot potential entries and exits.
How It Works
The indicator monitors the MACD line and its signal line in the background.
Bullish Trend (Green Bars): When the MACD line crosses above the signal line, the price bars will turn green. This color persists, signaling that the momentum is currently bullish.
Bearish Trend (Red Bars): When the MACD line crosses below the signal line, the price bars will turn red. This color persists, indicating that the momentum has shifted to bearish.
This immediate visual feedback helps you stay aligned with the current trend as defined by the MACD.
How to Use
Trend Identification: Use the bar colors for a quick "at-a-glance" understanding of the prevailing trend. Green bars suggest an uptrend, while red bars suggest a downtrend.
Entry Signals: A color change from red to green can be seen as a potential bullish entry signal. Conversely, a change from green to red can suggest a potential bearish entry.
Confirmation: Use the bar colors to confirm signals from your primary trading strategy. For example, if you get a buy signal from another indicator, a green bar color adds confluence to your trade idea.
All MACD settings (Fast Length, Slow Length, Signal Length) and the bar colors are fully customizable in the indicator's settings menu.
WinningStocksS2020 Trending Nifty, BankNifty, Sensex and Stocks Trade with SL to catch Trend. It has got above 75% success rate. GIVING IT FOR FREE...Paid a OT for it but Giving.
自動斐波回測Auto Fibonacci Backtest Explanation
Auto Fibonacci Backtest is an automated process in financial trading that tests Fibonacci strategies using historical data to simulate performance and evaluate effectiveness under various market conditions. Below is a detailed explanation of its core concepts, methods, tools, and applications, suitable for traders in stocks, forex, cryptocurrencies, and other markets.
What is Auto Fibonacci Backtest?
Fibonacci backtesting refers to trading strategies that use Fibonacci retracement (Retracement) or extension (Extension) levels (such as 23.6%, 38.2%, 61.8%, etc.) as entry, exit, or stop-loss points. The automation aspect involves software or scripts that execute the backtest automatically, avoiding manual calculations and handling large volumes of historical data (e.g., years or tens of thousands of candlesticks) to compute metrics like win rate, profit-loss ratio, and maximum drawdown.
Purpose: Validate Fibonacci strategies based on past performance, optimize parameters (such as retracement level selection), and predict potential future risks, rather than relying on subjective judgment.
Difference from Manual Backtesting: Automated backtesting can handle complex logic (e.g., combining multiple Fibonacci levels or trend filters) and generate statistical reports, saving time.
Backtesting Process
Auto Fibonacci backtesting typically follows these steps:
Define Strategy Rules:
Entry: Price retraces to a specific Fibonacci level (e.g., 61.8%) and shows confirmation signals (e.g., candlestick reversal or RSI oversold).
Exit: Reaches extension levels (e.g., 161.8%) or take-profit/stop-loss.
Filters: Execute only in trending markets (e.g., using moving averages to confirm trend direction) to avoid false signals in ranging markets.
Example Strategy: In an uptrend, enter long on retracement to 38.2% Fibonacci level, target 161.8% extension, stop-loss below 78.6% retracement.
Prepare Data:
Historical OHLC (Open-High-Low-Close) data, downloadable from sources like Yahoo Finance, Alpha Vantage, or trading platforms.
Time Range: At least 1-5 years of data, covering bull and bear markets.
Automated Execution:
Use programming languages (e.g., Python) or built-in platform tools to simulate each trade and calculate cumulative returns.
Key Metrics:
Win Rate: Percentage of profitable trades (e.g., >50%).
Profit-Loss Ratio: Average profit / average loss (target >1.5).
Maximum Drawdown: Largest equity curve decline (<20% is ideal).
Sharpe Ratio: Risk-adjusted return (>1 indicates good performance).
Optimization and Validation:
Parameter Optimization: Test different Fibonacci level combinations (e.g., using walk-forward optimization).
Forward Testing: After backtesting, validate with unseen data to avoid overfitting.
Monte Carlo Simulation: Randomly reshuffle data to assess strategy robustness.
Common Tools and Platforms
Python + Libraries:
Backtrader or Zipline: Open-source backtesting frameworks that support custom Fibonacci indicators.
TA-Lib: For calculating Fibonacci levels.
Example Code Snippet (Python):
pythonimport backtrader as bt
import pandas as pd
class FibStrategy(bt.Strategy):
def __init__(self):
self.fib_levels = # Retracement levels
def next(self):
# Calculate Fibonacci retracement (simplified example)
high = self.data.high.get(size=20) # Recent high
low = self.data.low.get(size=20) # Recent low
# Logic: Buy if price nears 61.8% level
if self.data.close <= high * (1 - 0.618) + low * 0.618:
self.buy()
# Load data and run backtest
cerebro = bt.Cerebro()
data = bt.feeds.PandasData(dataname=pd.read_csv('stock_data.csv'))
cerebro.adddata(data)
cerebro.addstrategy(FibStrategy)
cerebro.run()
cerebro.plot()
Advantages: Free, flexible, and integrable with machine learning for optimization.
TradingView:
Write automated Fibonacci strategies in Pine Script, with built-in backtester showing net profit, win rate, etc.
Example: Search for "Auto Fib Retracement Strategy" to apply and adjust parameters directly.
MetaTrader 4/5 (MT4/MT5):
Download EAs (Expert Advisors) like "Fibonacci Backtester" to automatically scan historical data.
Supports Monte Carlo simulation and multi-currency testing.
Others:
QuantConnect or Amibroker: Cloud-based backtesting with Fibonacci plugins.
Excel/VBA: Suitable for beginners, but slower for large datasets.
Strategy Examples
Simple Fibonacci Trend Following:
Trend: Price breaks above 20-day MA for uptrend.
Entry: Retracement to 50% Fibonacci level.
Exit: 161.8% extension or trailing stop.
Backtest Result Example (Hypothetical BTC/USD, 2020-2025 data): Win rate 55%, annualized return 25%, max drawdown 15%.
Advanced: Multi-Timeframe Combination:
Daily chart for trend confirmation, 1-hour chart for Fibonacci entry points.
Use Python optimization: Test 23.6%-78.6% range to select the best combination.
MetricDescriptionTarget ValueWin RatePercentage of profitable trades>50%Profit-Loss RatioAverage profit / loss>1.5Maximum DrawdownLargest capital loss<20%Sharpe RatioRisk-adjusted return>1.0
Advantages
Objectivity: Data-driven, avoiding emotional bias.
Efficiency: Automates thousands of trades for quick strategy iteration.
Risk Insights: Identifies Fibonacci weaknesses in different markets (e.g., bull vs. bear).
Limitations
Overfitting Risk: Strategies may fit historical data only; requires forward testing.
Slippage and Commissions: Backtests often exclude real trading costs, overestimating performance.
Market Changes: Fibonacci relies on historical patterns and can't predict black swan events.
Data Quality: Requires high-quality data to avoid biases.
Implementation Tips
Getting Started: Begin with TradingView's free backtesting for simple strategies.
Advanced: Learn Python Backtrader and add risk management (e.g., 1% risk per position).
Note: Backtesting is for reference only and doesn't guarantee future results. Test in demo accounts before live trading.
Score de Confluência (Long) - By M.LolasCompilação de fatores de entrada verdadeira em Long.
By M.Lolas
byquan GP maxmin+Supertrend“This indicator combines Supertrend and the GP indicator. When the GP indicator meets the threshold, if there is a Supertrend signal, that signal is kept; otherwise, it is filtered out.”
Score de Confluência - By M.LolasIndicador criado dentro de uma estrategia específica, baseada em backtest real.
By M.Lolas
SL + 2 Entradas (50/50) + 2 TPs – Estratégia Manual By M.LolasIndicador criado dentro de uma estrategia específica, baseada em backtest real.
By M.Lolas
Swing Cross NotifierThis indicator identifies swing highs and lows on the chart and draws horizontal lines at these levels.
It is designed to send an alert when the price first crosses a swing level and then closes with a reversal candle within a user-defined number of bars.
**How to Use for Alerts:**
1. Add the indicator to your chart.
2. Create an Alert.
3. In the "Condition" dropdown, select this script's name.
4. Choose "Any alert() function call".
5. Set the trigger to "Once Per Bar Close".
Daily Low Risk Calculator + ATR % CheckStoploss indicator for swing traders, I can't really explain any further
Indicador de Confluência - M. LolasIndicador com finalidade específica em um projeto específico. By M. Lolas.
