Introduction to Spot New Coin Listing Strategies
A growing number of Telegram users have requested practical examples for designing strategies to capitalize on new coin listings. This guide provides a straightforward approach to creating an automated tool for securing newly listed coins on exchanges.
Strategy Objectives
When a new trading pair (e.g., XXX_USDT) becomes available on an exchange, this tool will:
- Monitor the exchange's API for the pair's activation
- Place 10 limit buy orders upon market launch
- Track order execution until completion
- Terminate upon successful fulfillment
This solution addresses a common need among crypto traders lacking programming experience.
Technical Implementation
Key Parameters:
| Parameter | Purpose |
|---|---|
ordersNum | Number of concurrent orders |
pendingPrice | Base order price |
pendingAmount | Base order quantity |
deltaPrice | Price adjustment per order |
deltaAmount | Quantity adjustment per order |
Core Functionality:
function pendingOrders(ordersNum, price, amount, deltaPrice, deltaAmount) {
var routineOrders = []
var ordersIDs = []
for (var i = 0 ; i < ordersNum ; i++) {
var routine = exchange.Go("Buy", price + i * deltaPrice, amount + i * deltaAmount)
routineOrders.push(routine)
Sleep(ApiReqInterval)
}
for (var i = 0 ; i < routineOrders.length ; i++) {
var orderId = routineOrders[i].wait()
if (orderId) {
ordersIDs.push(orderId)
Log("Order placed successfully", orderId)
}
}
return ordersIDs
}
function main() {
if (symbol == "null" || pendingPrice == -1 || pendingAmount == -1 || pendingPrice == -1 || deltaPrice == -1 || deltaAmount == -1) {
throw "Parameter configuration error"
}
exchange.SetCurrency(symbol)
SetErrorFilter("GetDepth")
while (true) {
var msg = ""
var depth = exchange.GetDepth()
if (!depth || (depth.Bids.length == 0 && depth.Asks.length == 0)) {
msg = "Awaiting market depth data..."
Sleep(500)
} else {
Log("Placing concurrent orders!")
var ordersIDs = pendingOrders(ordersNum, pendingPrice, pendingAmount, deltaPrice, deltaAmount)
while (true) {
var orders = _C(exchange.GetOrders)
if (orders.length == 0) {
Log("No active orders - process complete")
return
}
var tbl = {
type: "table",
title: "Active Orders",
cols: ["id", "price", "amount"],
rows: []
}
_.each(orders, function(order) {
tbl.rows.push([order.Id, order.Price, order.Amount])
})
LogStatus(_D(), "\n`" + JSON.stringify(tbl) + "`")
Sleep(500)
}
}
LogStatus(_D(), msg)
}
}Key Features
- API Monitoring: Continuously checks exchange order books
- 👉 Concurrent order execution for maximum efficiency
- Real-time order status tracking
- Adjustable pricing and quantity parameters
FAQ Section
Q: How does this differ from manual trading?
A: The automated approach executes orders within milliseconds of market launch - impossible for manual traders.
Q: What exchanges support this strategy?
A: Most major exchanges with public APIs, including 👉 OKX.
Q: Can I modify the order quantity dynamically?
A: Yes, through the deltaAmount parameter which adjusts quantities across orders.
Q: Is this strategy risk-free?
A: No automated strategy eliminates risk entirely. Always test with small amounts first.
Q: How do I handle API rate limits?
A: The Sleep(ApiReqInterval) function helps prevent rate limit violations.
Optimization Tips
- Latency Reduction: Host your bot geographically close to exchange servers
- Order Distribution: Wider price deltas increase execution probability
- Error Handling: Implement robust logging for post-trade analysis
This revised version:
1. Maintains all technical details while improving readability
2. Adds SEO-optimized headings and structure