Welcome to the Thrilling World of the Turkish Super Lig
The Turkish Super Lig is one of the most exciting football leagues in the world, captivating fans with its dynamic matches and fierce competition. As a local resident with a passion for football, I’m thrilled to share insights into this thrilling league, complete with expert betting predictions for fresh matches updated daily. Whether you're a seasoned fan or new to the scene, this guide will enhance your experience and deepen your understanding of the league's intricacies.
Understanding the Turkish Super Lig
The Turkish Super Lig, known for its fast-paced and competitive nature, features top-tier clubs that consistently deliver electrifying performances. With a rich history and a blend of local and international talent, the league offers an unparalleled football experience. Let’s delve into what makes this league a favorite among football enthusiasts.
Top Clubs in the Turkish Super Lig
- Galatasaray SK: One of the most successful clubs in Turkish football history, Galatasaray boasts numerous domestic titles and has made significant strides in European competitions.
- Fenerbahçe SK: Known for their passionate fanbase and storied rivalry with Galatasaray, Fenerbahçe has a rich tradition of excellence both domestically and internationally.
- Beşiktaş JK: Completing the iconic "Big Three," Beşiktaş is celebrated for its consistent performances and strong youth academy.
- Trabzonspor: A club with a devoted following, Trabzonspor has a history of producing talented players and achieving commendable results in national and European competitions.
- Sivasspor: Known for their strategic gameplay and robust defense, Sivasspor has emerged as a formidable contender in recent seasons.
Daily Match Updates: Stay Informed
Keeping up with the latest matches is crucial for any football fan. Our platform provides daily updates on all Super Lig matches, ensuring you never miss out on any action. From pre-match analyses to post-match reviews, we cover every aspect to keep you informed and engaged.
Expert Betting Predictions: Enhance Your Betting Strategy
Betting on football can be both exciting and rewarding. Our expert predictions are designed to help you make informed decisions, increasing your chances of success. Here’s how we approach our predictions:
- Data Analysis: We analyze historical data, player statistics, and team form to provide accurate predictions.
- Injury Reports: Keeping track of player injuries is crucial, as they can significantly impact match outcomes.
- Tactical Insights: Understanding team tactics and formations helps us predict potential game scenarios.
- Betting Trends: We monitor betting trends to identify popular bets and potential value opportunities.
Daily Match Predictions: Your Go-To Guide
Each day brings new opportunities to explore exciting matches. Our daily predictions cover all aspects you need to know:
- Match Overview: A brief summary of each match, highlighting key players and potential game-changers.
- Prediction Insights: Detailed analysis of why we favor certain outcomes over others.
- Betting Tips: Practical advice on which bets offer the best value based on our expert analysis.
Understanding Match Dynamics
To truly appreciate the Turkish Super Lig, it’s essential to understand the dynamics at play. Here are some factors that influence match outcomes:
- Home Advantage: Teams often perform better at home due to familiar surroundings and supportive fans.
- Injuries and Suspensions: The absence of key players can drastically alter team performance.
- Mental Toughness: The psychological aspect of football can be just as important as physical prowess.
- Climatic Conditions: Weather conditions can affect gameplay, especially in outdoor stadiums.
Detailed Match Analysis: A Closer Look
Our detailed match analyses provide deeper insights into each game. Here’s what you can expect from our comprehensive reviews:
- Tactical Breakdown: An examination of team formations, strategies, and in-game adjustments.
- Player Performance: Highlights of standout players and those who may have underperformed.
- Critical Moments: Analysis of pivotal moments that influenced the match outcome.
- Possession Stats: Detailed statistics on ball possession, passes completed, and other key metrics.
Betting Strategies: Maximizing Your Returns
Betting on football requires a strategic approach. Here are some tips to help you maximize your returns:
- Diversify Your Bets: Spread your bets across different markets to reduce risk.
- Leverage Expert Predictions: Use our expert insights to inform your betting decisions.
- Maintain Discipline: Set a budget for betting and stick to it to avoid overspending.
- Analyze Trends: Stay informed about league trends and how they might affect future matches.
Daily Updates: Stay Ahead of the Game
jimmybob92/Bitfinex-Python<|file_sep|>/bitfinex/order.py
from . import api
import pandas as pd
from datetime import datetime
class Order():
def __init__(self):
self.orders = []
self.df_orders = pd.DataFrame(columns=['order_id', 'symbol', 'amount', 'price', 'side', 'type', 'timestamp'])
# fetch open orders
orders = api.getOpenOrders()
if orders:
for order in orders:
self.orders.append(order)
self.df_orders.loc[len(self.df_orders)] = [order['id'], order['symbol'], order['amount'], order['price'], order['side'], order['type'], datetime.fromtimestamp(order['timestamp']/1000)]
def getOpenOrders(self):
return self.df_orders
def getOrder(self):
return self.orders
def getOpenOrder(self, orderId):
if len(self.orders) == 0:
self.__init__()
order = None
if orderId:
for o in self.orders:
if o['id'] == orderId:
order = o
break
return order
<|repo_name|>jimmybob92/Bitfinex-Python<|file_sep|>/bitfinex/account.py
from . import api
class Account():
def __init__(self):
self.accounts = []
accounts = api.getAccounts()
if accounts:
for account in accounts:
self.accounts.append(account)
def getAccounts(self):
return self.accounts
<|file_sep|># Bitfinex-Python
Python API wrapper for Bitfinex v1.
## Installation
bash
pip install bitfinex-python
## Usage
### Example using Bitfinex API Keys
python
from bitfinex import Bitfinex
# create instance of Bitfinex class
bitfinex = Bitfinex(api_key='YOUR_API_KEY', api_secret='YOUR_API_SECRET')
# fetch market data (symbol list)
print(bitfinex.getSymbolList())
# fetch account balances
print(bitfinex.getAccountBalances())
# fetch all open orders
print(bitfinex.getOrder().getOpenOrders())
# fetch open order by id (order id)
print(bitfinex.getOrder().getOpenOrder(123456))
# place new limit buy order (symbol pair / amount / price)
new_order = bitfinex.newLimitBuyOrder(symbol='BTCUSD', amount=0.01, price=60000)
# place new limit sell order (symbol pair / amount / price)
new_order = bitfinex.newLimitSellOrder(symbol='BTCUSD', amount=0.01, price=60000)
# place new market buy order (symbol pair / amount)
new_order = bitfinex.newMarketBuyOrder(symbol='BTCUSD', amount=0.01)
# place new market sell order (symbol pair / amount)
new_order = bitfinex.newMarketSellOrder(symbol='BTCUSD', amount=0.01)
### Example using Authenticated Session
python
from bitfinex import Bitfinex
# create instance of Bitfinex class
bitfinex = Bitfinex()
# authenticate session using API keys (api_key / api_secret)
bitfinex.authenticateSession(api_key='YOUR_API_KEY', api_secret='YOUR_API_SECRET')
# fetch market data (symbol list)
print(bitfinex.getSymbolList())
# fetch account balances
print(bitfinex.getAccountBalances())
# fetch all open orders
print(bitfinex.getOrder().getOpenOrders())
# fetch open order by id (order id)
print(bitfinex.getOrder().getOpenOrder(123456))
# place new limit buy order (symbol pair / amount / price)
new_order = bitfinex.newLimitBuyOrder(symbol='BTCUSD', amount=0.01, price=60000)
# place new limit sell order (symbol pair / amount / price)
new_order = bitfinex.newLimitSellOrder(symbol='BTCUSD', amount=0.01, price=60000)
# place new market buy order (symbol pair / amount)
new_order = bitfinex.newMarketBuyOrder(symbol='BTCUSD', amount=0.01)
# place new market sell order (symbol pair / amount)
new_order = bitfinex.newMarketSellOrder(symbol='BTCUSD', amount=0.01)
## License
[MIT](https://choosealicense.com/licenses/mit/)
<|file_sep|># import requests library
import requests
import hmac
import hashlib
import time
class Api():
# https://docs.bitcoin.com/en/developer/api/#exchange-public-endpoints
# Base URL
BASE_URL = 'https://api-pub.bitfinex.com'
# Base URL v1
BASE_URL_V1 = 'https://api-v1.bitfinex.com'
# Base URL v1 WS
BASE_URL_V1_WS = 'wss://api-v1.bitfinex.com/ws'
## Market Public Endpoints
### GET /v1/pubticker/{symbol}
#### Get ticker information
* URL : `/v1/pubticker/{symbol}`
* Method : `GET`
* Auth required : No
* Parameters
| Name | Located in | Description | Required | Schema |
| ---- | ---------- | ----------- | -------- | ---- |
| symbol | path | Symbol name | Yes | string |
* Success Response
* Code : `200 OK`
json
{
"mid":"4399",
"bid":"4398",
"ask":"4400",
"last_price":"4398",
"high":"4403",
"low":"4377",
"volume":"57",
"quote_volume":"2499",
"count":"17"
}
* Error Response
The endpoint will return error responses as described below:
* Code : `422 Unprocessable Entity`
json
{
"error":[],
"status":422,
"message":"Unprocessable Entity"
}
### GET /v1/book/{symbol}/P0
#### Get full book snapshot
* URL : `/v1/book/{symbol}/P0`
* Method : `GET`
* Auth required : No
* Parameters
| Name | Located in | Description | Required | Schema |
| ---- | ---------- | ----------- | -------- | ---- |
| symbol | path | Symbol name | Yes | string |
* Success Response
* Code : `200 OK`
json
{
"event":"subscribed",
"channel":"book",
"pair":"tBTCUSD",
"freq":"P0",
"chanId":12345,
"bids":[["4398","57"]],
"asks":[["4400","6"]]
}
### GET /v1/book/{symbol}/P25
#### Get book snapshot at depth P25
* URL : `/v1/book/{symbol}/P25`
* Method : `GET`
* Auth required : No
* Parameters
| Name | Located in | Description | Required | Schema |
| ---- | ---------- | ----------- | -------- | ---- |
| symbol | path | Symbol name | Yes | string |
* Success Response
* Code : `200 OK`
json
{
"event":"subscribed",
"channel":"book",
"pair":"tBTCUSD",
"freq":"P25",
"chanId":12345,
"bids":[["4398","57"]],
"asks":[["4400","6"]]
}
### GET /v1/book/{symbol}/P10
#### Get book snapshot at depth P10
* URL : `/v1/book/{symbol}/P10`
* Method : `GET`
* Auth required : No
* Parameters
| Name | Located in | Description | Required | Schema |
| ---- | ---------- | ----------- | -------- | ---- |
| symbol | path | Symbol name | Yes | string |
* Success Response
* Code : `200 OK`
json
{
"event":"subscribed",
"channel":"book",
"pair":"tBTCUSD",
"freq":"P10",
"chanId":12345,
"bids":[["4398","57"]],
"asks":[["4400","6"]]
}
### GET /v1/book/{symbol}/P5
#### Get book snapshot at depth P5
* URL : `/v1/book/{symbol}/P5`
* Method : `GET`
* Auth required : No
* Parameters
| Name | Located in | Description | Required | Schema |
| ---- | ---------- | ----------- | -------- | ---- |
| symbol | path | Symbol name name; The name should be prefixed with t if it is a trading pair; For example tBTCUSD or BTCUSD; Use fiat currencies without prefix; For example USD or BTC; You can also use short names like XBT for Bitcoin or USDT for Tether; For example XBTUSD or USDTBRL; Please refer to our list of symbols if you are not sure about what is valid here. Also note that some symbols are not available through this endpoint; Check status codes returned by this endpoint; If you receive an error response then it means that this symbol is not available through this endpoint; If you want real-time updates then you should use websocket channels instead; They are more efficient than HTTP requests because they do not require opening new connections every time; You can subscribe/unsubscribe from multiple channels simultaneously so there is no need to keep opening/closing connections constantly which would cause unnecessary overheads.; WebSocket endpoints are available at wss://api.bitfinex.com/ws/2 ; You need an API key with read access rights.; See our documentation on how to obtain one.; Once you have obtained an API key then add it as part of your request headers.; Example: {"X-BFX-APIKEY": "your_api_key", "X-BFX-SIGNATURE": "signature", "X-BFX-PAYLOAD": "payload"}; The signature must be generated using HMAC SHA384 algorithm.; The payload must be base64 encoded.; The timestamp must be Unix epoch time.; Please refer to our documentation on how these values should look like.; Note that we do not accept requests older than five minutes so make sure your system clock is accurate enough otherwise your requests might fail.; We recommend using NTP servers like pool.ntp.org or time.google.com etc.; If you are still having issues then please contact us via [email protected] ; You can also find more information about websockets here: https://docs.bitfinae.com/docs/websockets ; For more details please refer our documentation.: string |
* Success Response
* Code : `200 OK`
json
{
"event":"subscribed",
"channel":"book",
"pair":"tBTCUSD",
"freq":"P5",
"chanId":12345,
"bids":[["4398","57"]],
"asks":[["4400","6"]]
}
### GET /v1/candles/trade:{resolution}:{symbol}
#### Get trade candles at resolution {resolution} for symbol {symbol}
The resolution parameter accepts values like t1m (one minute), t5m (five minutes), t15m (fifteen minutes), t30m (thirty minutes), t1h (one hour), t3h (three hours), t6h (six