Binance Order Error -2010: Causes and Fixes
Binance error -2010 rejects your order before it hits the book. Learn every cause, quick fix, and how to prevent it in live trading.
Binance error -2010 rejects your order before it hits the book. Learn every cause, quick fix, and how to prevent it in live trading.
You place an order. Binance fires back: {"code": -2010, "msg": "Account has insufficient balance for requested action."}. Or maybe the message says something about price filters, lot sizes, or notional value. Either way, the order never touched the book — it was killed at the gate. Error -2010 is Binance's generic NEW_ORDER_REJECTED code, and it covers a surprisingly wide range of root causes. Knowing which one you're hitting is the difference between a 30-second fix and an hour of debugging.
Error -2010 maps to the internal code NEW_ORDER_REJECTED in Binance's REST and WebSocket API. It means the exchange received your order request, validated it server-side, and decided to reject it before placing it in the order book. The rejection is immediate — no partial fills, no pending state. The error message that accompanies -2010 is your real clue; the code itself just tells you the order didn't go through.
Unlike a network timeout or a 403 authentication error, -2010 is a logical rejection. Your connectivity is fine, your API keys work, but something about the order itself violates one of Binance's rules. This matters because the fix is always in the order parameters, never in your infrastructure.
Always read the 'msg' field alongside the -2010 code. Binance packs the specific reason into that string — 'insufficient balance', 'Filter failure: PRICE_FILTER', 'Filter failure: LOT_SIZE', etc. The msg is your actual error; -2010 is just the container.
Most -2010 errors fall into one of five buckets. Understanding each one lets you diagnose the problem from the message alone without digging through docs every time.
The fastest way to fix a -2010 is to map the msg string to the rule it's violating. Here's a practical reference for the messages you'll actually see in production:
| Message | Root Cause | Quick Fix |
|---|---|---|
| Account has insufficient balance | Not enough funds in spot wallet | Top up balance or reduce order size |
| Filter failure: PRICE_FILTER | Price out of range or wrong tick size | Round price to tickSize, check min/maxPrice |
| Filter failure: LOT_SIZE | Quantity below minQty or wrong step | Round qty to stepSize, enforce minQty |
| Filter failure: MIN_NOTIONAL | price × qty below minimum | Increase qty or price so notional clears floor |
| Filter failure: PERCENT_PRICE | Limit price too far from market | Move limit closer to current market price |
| Filter failure: MARKET_LOT_SIZE | Market order qty out of allowed range | Check marketLotSizeFilter separately from lotSizeFilter |
| Order's notional is too large | Order exceeds maximum notional | Split into smaller orders |
| Reduce only order is rejected | No open position to reduce | Check position before placing reduce-only |
For each pair you trade, you can pull the exact filter values from the /api/v3/exchangeInfo endpoint. The filters array inside each symbol object contains every constraint Binance will enforce. If you're building a bot, cache this data and validate locally before sending — you'll cut your rejected order rate dramatically and avoid unnecessary API weight consumption.
Here's how to resolve the most common variants in practice, with code examples in Python using the python-binance library.
from binance.client import Client
import math
client = Client(api_key, api_secret)
def get_filters(symbol):
info = client.get_symbol_info(symbol)
filters = {f['filterType']: f for f in info['filters']}
return filters
def round_step_size(quantity, step_size):
"""Round quantity down to the nearest valid step."""
precision = int(round(-math.log(float(step_size), 10), 0))
return round(math.floor(quantity / float(step_size)) * float(step_size), precision)
def round_tick_size(price, tick_size):
"""Round price to the nearest valid tick."""
precision = int(round(-math.log(float(tick_size), 10), 0))
return round(round(price / float(tick_size)) * float(tick_size), precision)
def safe_limit_order(symbol, side, quantity, price):
filters = get_filters(symbol)
# Fix LOT_SIZE
step_size = filters['LOT_SIZE']['stepSize']
min_qty = float(filters['LOT_SIZE']['minQty'])
quantity = round_step_size(quantity, step_size)
if quantity < min_qty:
raise ValueError(f"Quantity {quantity} below minQty {min_qty}")
# Fix PRICE_FILTER
tick_size = filters['PRICE_FILTER']['tickSize']
price = round_tick_size(price, tick_size)
# Check MIN_NOTIONAL
min_notional = float(filters['MIN_NOTIONAL']['minNotional'])
if quantity * price < min_notional:
raise ValueError(f"Notional {quantity * price:.4f} below minimum {min_notional}")
return client.create_order(
symbol=symbol,
side=side,
type='LIMIT',
timeInForce='GTC',
quantity=quantity,
price=str(price)
)
# Usage
try:
order = safe_limit_order('BTCUSDT', 'BUY', 0.001, 62345.67)
print(f"Order placed: {order['orderId']}")
except ValueError as e:
print(f"Pre-validation failed: {e}")
except Exception as e:
print(f"API error: {e}")
The pattern above — fetch filters, validate locally, then send — is the industry-standard approach for production bots. You catch the error before it hits the API, save on rate limits, and get a cleaner error message you control. Traders running bots on Bybit and OKX implement the same pattern since both platforms have analogous filter systems (Bybit calls them 'lotSizeFilter' and 'priceFilter'; OKX uses 'ctVal' and tick size specs per instrument).
The same -2010 code appears across Binance Spot, USD-M Futures, and COIN-M Futures, but the triggers differ in important ways.
On Spot, insufficient balance is the single most common cause — you simply don't have USDT or BTC to cover the order. On Futures, balance is rarely the issue (margin requirements are lower), but reduce-only rejections and PERCENT_PRICE violations are much more frequent. In futures, if you're trying to close a position that got liquidated moments earlier, you'll hit -2010 with a reduce-only message. Always query your position before placing a close order programmatically.
Another futures-specific trigger: the NOTIONAL filter on futures pairs is often higher than on spot. A 10 USDT minimum notional on spot might be 100 USDT on the perpetual contract for the same asset. Bots ported from spot to futures without updating the minimum size checks fail here regularly.
| Trigger | Binance Spot | Binance USD-M Futures |
|---|---|---|
| Insufficient balance | Very common | Less common (margin-based) |
| PRICE_FILTER | Common | Common |
| LOT_SIZE | Common | Common |
| MIN_NOTIONAL | Lower threshold (~5-10 USDT) | Higher threshold (~5-100 USDT) |
| PERCENT_PRICE | ±20% from VWAP | Tighter in volatile markets |
| Reduce-only rejected | Not applicable | Common during liquidations |
| POST_ONLY rejected | If price would match immediately | Same behavior |
If you're building a multi-exchange bot or considering migrating your strategy, it's worth knowing how Binance's filter system compares to what you'd find on other major platforms. Bybit, OKX, and Bitget all implement similar constraint systems, but the specifics vary enough to cause -2010-equivalent errors if you don't adapt your order construction logic per exchange.
| Feature | Binance | Bybit | OKX | Bitget | Gate.io |
|---|---|---|---|---|---|
| Price tick size enforcement | tickSize via PRICE_FILTER | tickSize in lotSizeFilter | tickSz per instrument | tickSize | precision field |
| Quantity step enforcement | stepSize via LOT_SIZE | qtyStep | lotSz | stepSize | amount_precision |
| Minimum notional | MIN_NOTIONAL filter | minOrderAmt | minSz × price | minTradeUSDT | min_amount |
| Percent price limit (spot) | PERCENT_PRICE (±20%) | Less strict | Price band per pair | Price band | Configurable |
| Reduce-only support | Yes (futures) | Yes | Yes | Yes | Yes |
| Filter endpoint | /api/v3/exchangeInfo | /v5/market/instruments-info | /api/v5/public/instruments | /api/mix/v1/market/contracts | /api/v4/spot/currencies |
OKX uses a slightly different approach — instead of a hard minimum notional, it enforces minSz (minimum contract size) and you multiply by the current price to get effective minimum. Bitget's minTradeUSDT serves a similar purpose to Binance's MIN_NOTIONAL. If you're cross-exchange trading and getting -2010 equivalents on one platform but not another, the notional floor difference is usually the culprit.
Platforms like Bybit and OKX also expose sandbox/testnet environments where you can fire test orders freely without real funds — this is invaluable for validating your filter logic before going live. Binance Testnet serves the same purpose. If you're using VoiceOfChain for real-time signal feeds, running your execution layer against testnet first with the same signal parameters lets you catch filter violations before they cost you on live markets.
Reactive error handling (try/catch around every order) works but creates noise. A better architecture prevents the error before the API call. Here's the production checklist:
Signal services like VoiceOfChain push entry price and sizing recommendations in real time. When wiring those signals into an automated execution layer on Binance, the local validator sits between the signal consumer and the order router — the signal tells you what to trade, the validator enforces that the order is actually placeable, and the router sends it. That separation keeps your execution clean and your logs interpretable.
Error -2010 is one of the most frequent friction points in Binance API development, but it's also one of the most mechanical to fix. Every instance comes down to a constraint mismatch between your order parameters and Binance's exchange rules. Read the message field, look up the relevant filter in exchangeInfo, fix the parameter, and you're done. The traders who stop hitting -2010 in production are the ones who move that validation logic upstream — check before you send, not after you fail. Whether you're trading on Binance directly, running a multi-leg strategy across Bybit and OKX, or automating entries off signal feeds, clean order construction is the foundation everything else runs on.