Leverage — Penunjuk dan Strategi

Bitcoin Leverage Sentiment - Strategy [presentTrading]█ Introduction and How it is Different The "Bitcoin Leverage Sentiment - Strategy " represents a novel approach in the realm of cryptocurrency trading by focusing on sentiment analysis through leveraged positions in Bitcoin. Unlike traditional strategies that primarily rely on price action or technical indicators, this strategy leverages the power of Z-Score analysis to gauge market sentiment by examining the ratio of leveraged long to short positions. By assessing how far the current sentiment deviates from the historical norm, it provides a unique lens to spot potential reversals or continuation in market trends, making it an innovative tool for traders who wish to incorporate market psychology into their trading arsenal. BTC 4h L/S Performance local █ Strategy, How It Works: Detailed Explanation 🔶 Data Collection and Ratio Calculation Firstly, the strategy acquires data on leveraged long (**`priceLongs`**) and short positions (**`priceShorts`**) for Bitcoin. The primary metric of interest is the ratio of long positions relative to the total of both long and short positions: BTC Ratio=priceLongs / (priceLongs+priceShorts) This ratio reflects the prevailing market sentiment, where values closer to 1 indicate a bullish sentiment (dominance of long positions), and values closer to 0 suggest bearish sentiment (prevalence of short positions). 🔶 Z-Score Calculation The Z-Score is then calculated to standardize the BTC Ratio, allowing for comparison across different time periods. The Z-Score formula is: Z = (X - μ) / σ Where: - X is the current BTC Ratio. - μ is the mean of the BTC Ratio over a specified period (**`zScoreCalculationPeriod`**). - σ is the standard deviation of the BTC Ratio over the same period. The Z-Score helps quantify how far the current sentiment deviates from the historical norm, with high positive values indicating extreme bullish sentiment and high negative values signaling extreme bearish sentiment. 🔶 Signal Generation: Trading signals are derived from the Z-Score as follows: Long Entry Signal: Occurs when the BTC Ratio Z-Score crosses above the thresholdLongEntry, suggesting bullish sentiment. - Condition for Long Entry = BTC Ratio Z-Score > thresholdLongEntry Long Exit/Short Entry Signal: Triggered when the BTC Ratio Z-Score drops below thresholdLongExit for exiting longs or below thresholdShortEntry for entering shorts, indicating a shift to bearish sentiment. - Condition for Long Exit/Short Entry = BTC Ratio Z-Score < thresholdLongExit or BTC Ratio Z-Score < thresholdShortEntry Short Exit Signal: Happens when the BTC Ratio Z-Score exceeds the thresholdShortExit, hinting at reducing bearish sentiment and a potential switch to bullish conditions. - Condition for Short Exit = BTC Ratio Z-Score > thresholdShortExit 🔶Implementation and Visualization: The strategy applies these conditions for trade management, aligning with the selected trade direction. It visualizes the BTC Ratio Z-Score with horizontal lines at entry and exit thresholds, illustrating the current sentiment against historical norms. █ Trade Direction The strategy offers flexibility in trade direction, allowing users to choose between long, short, or both, depending on their market outlook and risk tolerance. This adaptability ensures that traders can align the strategy with their individual trading style and market conditions. █ Usage To employ this strategy effectively: 1. Customization: Begin by setting the trade direction and adjusting the Z-Score calculation period and entry/exit thresholds to match your trading preferences. 2. Observation: Monitor the Z-Score and its moving average for potential trading signals. Look for crossover events relative to the predefined thresholds to identify entry and exit points. 3. Confirmation: Consider using additional analysis or indicators for signal confirmation, ensuring a comprehensive approach to decision-making. █ Default Settings - Trade Direction: Determines if the strategy engages in long, short, or both types of trades, impacting its adaptability to market conditions. - Timeframe Input: Influences signal frequency and sensitivity, affecting the strategy's responsiveness to market dynamics. - Z-Score Calculation Period: Affects the strategy’s sensitivity to market changes, with longer periods smoothing data and shorter periods increasing responsiveness. - Entry and Exit Thresholds: Set the Z-Score levels for initiating or exiting trades, balancing between capturing opportunities and minimizing false signals. - Impact of Default Settings: Provides a balanced approach to leverage sentiment trading, with adjustments needed to optimize performance across various market conditions.

How to use Leverage in PineScript I believe there are many friends who have been confused by the leverage problem of TradingView strategy, when backtesting, it is always unable to bring its own leverage, so it is impossible to do leverage sustained compounding, this key point, and many friends are looking forward to solve. In particular, the default_qty_value = 100, where 100 is the upper limit. Here I have used the official RSI strategy for demonstration, using the qty to place orders. Through strategy.equity, leverage and close price, and rounding, directly calculate the specific number of contracts need to be opened. I hope you can enjoy solving the leverage problem, and I look forward to your pointing out my problems and shortcomings to me. Thank you.

Hulk Strategy x35 Leverage 5m chart w/Alerts This strategy is a pullback strategy that utilizes 2 EMAs as a way of identifying trend, MACD as an entry signal, and RSI and ADX to filter bad trades. By using the confirmation of all of these indicators the strategy attempts to catch pullbacks, and it is optimized to wait for high probability setups. Take not that the strategy is optimized for use on BTCUSDT along with 35 times leverage(Using leverage is risky). The Hulk Strategy waits for strong trend confirmation and then attempts to identify pullbacks using MACD and RSI. By using these it identifies strong short term movement against the trend(hence the name Hulk). To use the strategy wait for the strategy to make an entry, and then enter with a stop loss of 1.1% and a take profit of 1.35% with respect to if it is a long or short position. The trade frequency of this strategy is high as it is made for use on the 5m timeframe. But this does not mean you will have to be staring at your computer constantly as an average of 1 trade takes place each day. This will vary a lot though, somedays the strategy enters up to 4 times. I wish you good trading and hope that you like this strategy! P.S. The indicators on my chart are visualizations of the indicators used in the strategy, they are not necessary for the strategy to work though. Also the colored in cloud on the price chart is an EMA cloud and it comes with the strategy when you add it to your chart. This EMA cloud consists of two EMAs a 50 and a 200 EMA.

How to use Leverage and Margin in PineScript En route to being absolutely the best and most complete trading platform out there, TradingView has just closed 2 gaps in their PineScript language. It is now possible to create and backtest a strategy for trading with leverage. Backtester now produces Margin Calls - so recognizes mid-trade drawdown and if it is too big for the broker to maintain your trade, some part of if will be instantly closed. New additions were announced in official blogpost , but it lacked code examples, so I have decided to publish this script. Having said that - this is purely educational stuff. █ LEVERAGE Let's start with the Leverage. I will discuss this assuming we are always entering trades with some percentage of our equity balance (default_qty_type = strategy.percent_of_equity), not fixed order quantity. If you want to trade with 1:1 leverage (so no leverage) and enter a trade with all money in your trading account, then first line of your strategy script must include this parameter: default_qty_value = 100 // which stands for 100% Now, if you want to trade with 30:1 leverage, you need to multipy the quantity by 30x, so you'd get 30 x 100 = 3000: default_qty_value = 3000 // which stands for 3000% And you can play around with this value as you wish, so if you want to enter each trade with 10% equity on 15:1 leverage you'd get default_qty_value = 150. That's easy. Of course you can modify this quantity value not only in the script, but also afterwards in Script Settings popup, "Properties" tab. █ MARGIN Second newly released feature is Margin calculation together with Margin Calls. If the market goes against your trades and your trading account cannot maintain mid-trade drawdown - those trades will be closed in full or partly. Also, if your trading account cannot afford to open more trades (pyramiding those trades), Margin mechanism will prevent them from being entered. I will not go into details about how Margin calculation works, it was all explainged in above mentioned blogpost and documentation . All you need to do is to add two parameters to the opening line of your script: margin_long = 1./30*50, margin_short = 1./30*50 Whereas "30" is a leverage scale as in 30:1, and "50" stands for 50% of Margin required by your broker. Personally the Required Margin number I've met most often is 50%, so I'm using value 50 here, but there are literally 1000+ brokers in this world and this is individual decision by each of them, so you'd better ask yourself. -------------------- Please note, that if you ever encounter a strategy which triggers Margin Call at least once, then it is probably a very bad strategy. Margin Call is a last resort, last security measure - all the risks should be calculated by the strategy algorithm before it is ever hit. So if you see a Margin Call being triggred, then something is wrong with risk management of the strategy. Therefore - don't use it!

London breakout GBPUSD daytrade Hello, First I want to WARN THAT YOU NEED A MINIMUM OF 30X LEVERAGE FOR THIS STRATEGY IN ORDER TO WORK. THE REASON IS THAT THE SIZE IS CALCULATED BASED ON A VERY SHORT STOP LOSS LEVEL IN PIPS UTILIZE IT AT YOUR OWN RISK This is a daytrading strategy, that's suited for GBPUSD 1H timechart. It a very simple strategy that utilizes 2 moving averages : a very fast one and a very slow one. It will always enter only at the beginning candle of London session, and it will always exit at the candle at the finish of London session. So the rules are simple : If its 8 am GMT and the candle close or high cross the slow moving average and we are above at the same over the slow moving average we make a long movement. The oposite condition is applied for short. At the same time we always use a very small stop loss = 50-100 points ( 5-10 pips). We dont have a take profit, in our case the trade ends always at the end of London session. In this case at 15h GMT It might work on other currencies aswell, but it has to be tested first. For any questions or suggestions, please let me know.

Leverage Strategy and a few words on risk/opportunity Hello traders, I started this script as a joke for someone... finally appears it could be used for educational content Let's talk about leverage and margin call Margin Call A margin call is the broker's demand that an investor deposit additional money or securities so that the account is brought up to the minimum value, known as the maintenance margin. A margin call usually means that one or more of the securities held in the margin account has decreased in value below a certain point. Leverage A leverage is a system which allows the trader to open positions much larger than his own capital. ... “Leverage” usually refers to the ratio between the position value and the investment needed, Strat The strategy simulates long/short positions on a 4h high/low breakout based on the chart candle close. The panel below shows the strategy equity curve. Activating the margin call option will show when the account would be margin called giving the settings Casino I'm not doing any financial recommendation here. I made this strategy so that people include more risk management metrics into their strategy. From the code, we see it's fairly easy to calculate a leveraged position size and a margin call flag - when that flag is hit, the system stops trading. I simplified things to the extreme here but my point is that the leverage is a double-edge sword gift. Assuming we always take the same position sizing, increasing the leverage speed up how fast a margin could be ..... called. (bad joke? feel free to tell me). Not saying it will, saying it introduces more risk by design. Then one could say "I'll just turn off that stupid margin call option". And that's when someone starts backtesting with unrealistic market conditions. Finally... When I backtest I always assume the worst in every scenario possible (because I'm French), I always try to minimize the risk first (also because I'm French), keeping as close from 0 as possible (French again) Then I add the "opportunity" component, looking to catch the maximum of opportunity while keeping the risk low. It's like a Rubix cube puzzle - decreasing the risk is one side of the equation but whenever I try to catch more opportunity... my risks increases. Then I update my risk... and now the opportunity decreases... (#wut #wen #simple) Completely removing the risk from a trading strategy isn't something I wouldn't dare doing. Trading involves risk. Being obsessed by decreasing the risk is what I do BEST :) Dave