first commit

Author: scripting-drafts

.gitignore

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+research/
+secret.py
+*.csv
+bot_state.json
+symbols.yaml
+trades_detailed.csv
+__pycache__

README.md

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+# High Risk Auto Trade
+  
+| File Name                  | Description                                  |
+|----------------------------|----------------------------------------------|
+| high_risk_autotrade.py     | Main bot (do NOT import/run in Streamlit!)   |
+| streamlit_dashboard.py     | Dashboard ONLY                               |
+| secret.py                  | API Keys                                     |
+| bot_state.json             | Shared state file                            |
+| usdc_symbol_updater.py     | Fetches USDC crypto state                    |
+| symbols.yaml               | USDC cryptos state                           |
+
+  <br /> 
+Requirements:  
+pip install python-telegram-bot==22.2 (Previous 13.5)  
+sudo apt install ntpdate  
+sudo ntpdate pool.ntp.org  
+  <br />  
+
+### How does it work
+ - Generate symbols.yaml  
+ - Run the bot  
+ - Keep usdc_symbol_updater on  
+  <br />
+
+## Momentum Detection  
+The function has_recent_momentum() requires positive price changes on 1m, 5m, and 15m candles (default: +0.3%, +0.6%, +1.0%).
+  <br />
+
+## Entry  
+The bot will consider buying only if all these timeframes show strong upward movement. This is like what’s shown on the chart—buying during the clear uptrend.
+  <br />
+
+## Auto-Sell  
+The bot uses both trailing stop logic and a maximum hold time, so if the price reverses sharply (like those red candles after the top in the image), the bot should try to exit quickly.
+  <br />
+
+![Example](https://i.imgur.com/7oMaPLM.jpeg)  
+
+
+### Summary
+
+If the trend is very short (just 2-3 candles), the bot might enter late or get faked out.  
+  <br />
+If a strong reversal happens quickly (as in the sharp red drop), the trailing stop might trigger and exit, but very fast drops can result in some slippage.  

streamlit_dashboard.py

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+# streamlit_dashboard.py
+import json
+import streamlit as st
+import time
+
+st.set_page_config(page_title="Crypto Bot Dashboard", layout="wide")
+
+st.title("Crypto Bot Dashboard")
+
+def load_state():
+    try:
+        with open("bot_state.json", "r") as f:
+            return json.load(f)
+    except Exception:
+        return {"balance": 0, "positions": {}}
+
+state = load_state()
+last_update = time.strftime("%Y-%m-%d %H:%M:%S")
+
+st.subheader(f"USDC Balance: ${state.get('balance', 0):,.2f}")
+positions = state.get("positions", {})
+if positions:
+    st.subheader("Open Positions")
+    data = []
+    for sym, pos in positions.items():
+        data.append({
+            "Symbol": sym,
+            "Qty": pos.get("qty", 0),
+            "Entry": pos.get("entry", 0),
+            "Timestamp": pos.get("timestamp", 0),
+        })
+    st.table(data)
+else:
+    st.write("No open positions.")
+st.caption(f"Last updated: {last_update}")