BTCUSD Liquidity Pulse Divergence | Investing Crypto StrategyStrategy type: Daily on-chain liquidity trend-follower (long-only)
What it does
The strategy goes long BTCUSD only when fresh capital and whale accumulation line up with price‐action strength:
Stable-coin Supply Shock
7-day % change in combined USDT + USDC market-cap
• Trade regime is ON when today’s change ranks above the chosen percentile of the last perc_len days (default 35 th).
Whale Wallet Momentum
Rate-of-change in the number of wallets holding ≥ 10 000 BTC
• Must be positive to confirm stealth buying.
Trend & Timing Filters
• Daily close > EMA(ema_len) ⟶ only trade with the dominant trend.
• Same-bar RSI(14) > rsi_gate and close > VWAP ⟶ avoid dead-cat moves.
Risk Engine
• Entry size = min(risk cap, volatility-weight) % of equity.
• Stop-loss = weekly ATR × atr_mult below entry.
• Flat immediately if stable-coin Z-score turns < 0 or whale ROC flips < 0.
All calculations are forward-safe: every higher-timeframe request uses lookahead_off.
Default inputs
Parameter Purpose Default
Stable-Δ percentile >` Supply-shock threshold 35
Percentile window Look-back (days) 100
Whale ROC length Accumulation window (days) 40
RSI gate Momentum confirm 50
Trend EMA length Macro filter (days) 100
Weekly-ATR stop × Stop distance 3.0
Back-test properties (shown in “Properties” tab)
Setting Value
Initial capital 10 000 USD
Order size 5 % of equity
Pyramiding 1
Commission 0.10 %
Slippage 5 ticks
Fill orders Bar magnifier ✔ · On bar close ✔ · Standard OHLC ✔
How to use
Add the script to any BTCUSD 1-day chart (spot or perpetual). Can work with ETH and other crypto correlated assets with BTC.
Leave the chart timeframe at D; the code pulls weekly data internally.
Adjust inputs only if you understand their effect (hover each slider for a tooltip).
Keep commission/slippage realistic and forward-test on a demo account before risking live funds.
Important notes
Uses only publicly available on-chain feeds (CRYPTOCAP:USDT, CRYPTOCAP:USDC, BTC_ADDRESSESBALANCE10KUSD).
No request.security() look-ahead, no repainting, no intrabar assumptions.
Long-only by design—no hedging in bear markets.
Historical performance never guarantees future returns. Market micro-structure changes or data outages can affect results.
Credits
Written from scratch with TradingView built-ins; no external code reused. Special thanks to the TradingView community for the on-chain data feeds.
Trade smart, manage risk, and let the liquidity tide guide you!
Btcusdbuy
Greedy DCA█ OVERVIEW
Detect price crashes in volatile conditions. This is an indicator for a greedy dollar cost average (DCA) strategy. That is, for people who want to repeatedly buy an asset over time when its price is crashing.
█ CONCEPTS
Price crashes are indicated if the price falls below one or more of the 4 lower Bollinger Bands which are calculated with increasing multipliers for the standard deviation.
In these conditions, the price is far below the average. Therefore they are considered good buying opportunities.
No buy signals are emitted if the Bollinger Bands are tight, i.e. if the bandwidth (upper -lower band) is below the value of the moving average multiplied with a threshold factor. This ensures that signals are only emitted if the conditions are highly volatile.
The Bollinger Bands are calculated based on the daily candles, irrespective the chart time frame. This allows to check the strategy on lower time frames
kyle algo v1
Integration of multiple technical indicators: The strategy mainly combines two technical indicators - Keltner Channels and Supertrend, to generate trading signals. It also calculates fifteen exponential moving averages (EMAs) for the high price with different periods ranging from 9 to 51.
Unique combination of indicators: The traditional Supertrend typically uses Average True Range (ATR) to calculate its upper and lower bands. In contrast, this script modifies the approach to use Keltner Channels instead.
Flexible sensitivity adjustment: This strategy provides a "sensitivity" input parameter for users to adjust, which controls the multiplier for the range in the Supertrend calculation. This can make the signals more or less sensitive to price changes, allowing users to tailor the strategy to their own risk tolerance and trading style.
EMA Energy Representation: The code offers a visualization of "EMA Energy", which color-codes the EMA lines based on whether the closing price is above or below the EMA line. This can provide an intuitive understanding of market trends.
Clear visual signals: The strategy generates clear "BUY" and "SELL" signals, represented as labels on the chart. This makes it easy to identify potential entry and exit points in the market.
Customizable: The script provides several user inputs, making it possible to fine-tune the strategy according to different market conditions and individual trading preferences.
EMA (Exponential Moving Average) Principle:
The EMA is a type of moving average that assigns more weight to the most recent data.
It responds more quickly to recent price changes and is used to capture short-term price trends.
Principle of Color Change :
In this trading strategy, the color of the EMA line changes based on whether the closing price is above or below the EMA. If the closing price is above the EMA, the EMA line turns green,
indicating an upward price trend. Conversely, if the closing price is below the EMA, the EMA line turns red,
indicating a downward price trend. These color changes help traders to more intuitively identify price trends
In short, our team provides a lot of practical space
That is your development space
